Trabajos machine learning en Ashburn, VirginiaCrear alertas

Application deadline: Nov 5, 2026\n \n \nThe Amazon Web Services Professional Services (ProServe) team is seeking a skilled Delivery Consultant to join our team at Amazon Web Services (AWS). In this role, you'll work closely with customers to design, implement, and manage AWS solutions that meet their technical requirements and business objectives. You'll be a key player in driving customer success through their cloud journey, providing technical expertise and best practices throughout the project lifecycle. Possessing a deep understanding of AWS products and services, as a Delivery Consultant you will be proficient in architecting complex, scalable, and secure solutions tailored to meet the specific needs of each customer. You’ll work closely with stakeholders to gather requirements, assess current infrastructure, and propose effective migration strategies to AWS. As trusted advisors to our customers, providing guidance on industry trends, emerging technologies, and innovative solutions, you will be responsible for leading the implementation process, ensuring adherence to best practices, optimizing performance, and managing risks throughout the project. \n \n \nThe AWS Professional Services organization is a global team of experts that help customers realize their desired business outcomes when using the AWS Cloud. We work together with customer teams and the AWS Partner Network (APN) to execute enterprise cloud computing initiatives. Our team provides assistance through a collection of offerings which help customers achieve specific outcomes related to enterprise cloud adoption. We also deliver focused guidance through our global specialty practices, which cover a variety of solutions, technologies, and industries.\n \n \nThis position requires that the candidate selected must currently possess and maintain an active TS/SCI Security Clearance with Polygraph. The position further requires the candidate to opt into a commensurate clearance for each government agency for which they perform AWS work.\n \n \nKey job responsibilities\n \nAs an experienced technology professional, you will be responsible for: \n \n- Designing and implementing complex, scalable, and secure AWS solutions tailored to customer needs\n \n- Providing technical guidance and troubleshooting support throughout project delivery\n \n- Collaborating with stakeholders to gather requirements and propose effective migration strategies\n \n- Acting as a trusted advisor to customers on industry trends and emerging technologies\n \n- Sharing knowledge within the organization through mentoring, training, and creating reusable artifacts\n \n \n \nAbout the team\n \nAbout AWS \n \nAWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. \n \n \nWhy AWS? Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. \n \n \nInclusive Team Culture Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences, inspire us to never stop embracing our uniqueness. \n \n \nMentorship & Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. \n \n \nWork/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.\n \nBASIC QUALIFICATIONS- 7+ years of technical specialist, design and architecture experience\n \n- 5+ years of database (eg. SQL, NoSQL, Hadoop, Spark, Kafka, Kinesis) experience\n \n- 7+ years of consulting, design and implementation of serverless distributed solutions experience\n \n- 5+ years of experience in cloud architecture and implementation\n \n- 5+ years of software development tools and methodologies\n \n- Current, active US Government Security Clearance of TS/SCI with Polygraph\n \nPREFERRED QUALIFICATIONS- degree in advanced technology, or AWS Professional level certification\n \n- Knowledge of AWS services including compute, storage, networking, security, databases, machine learning, and serverless technologies\n \n- Knowledge of security and compliance standards including HIPAA and GDPR\n \n- Experience in performance optimization and cost management for cloud environments\n \n- Experience communicating technical concepts to diverse audiences in pre-sales environments\n \n- Experience with the AWS platform, web services, software development, or related technologie\n \n- AWS Professional level certification, or 1+ years of technical specialist, design and architecture experience\n \n \nAmazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.\n \n \nOur inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.\n \n \n The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits. \n \n \nUSA, CO, Denver - 153,600.00 - 207,800.00 USD annually\n \nUSA, MO, St. Louis - 153,600.00 - 207,800.00 USD annually

Description Kurdish Linguist Make a Global Impact – Join the Mission at Leidos Are you ready to apply your linguistic expertise to meaningful work that directly supports national security? At Leidos, we bring together innovative minds, cutting-edge technology, and a commitment to excellence to solve the world’s toughest challenges. Join a team where your contributions truly matter, and where you'll have the resources and support to thrive professionally and personally. TS/SCI clearance with polygraph is required We are currently seeking a highly skilled Kurdish Linguist to join our mission-driven team. This position requires a language professional capable of performing a wide range of complex linguistic tasks with precision and cultural insight. What You’ll Do: You will provide professional-level linguistic support across translation, interpretation, transcription, and Gisting including but not limited to: Translation Accurately translate materials (both digital and hard copy) from Kurdish into English and vice versa. Capture subtle nuances, cultural references, and abstract concepts with contextual accuracy. Capture geopolitical, regional, ethnic, and cultural references effectively. Use terminology and expression consistent with subject matter norms in the target language. Interpretation Provide consecutive interpretation; simultaneous interpretation may occasionally be required. Maintain high fidelity and fluency, demonstrating understanding of regional dialects and cultural context. Transcription Listen to audio or review internet-based content and transcribe accurately and efficiently. Produce high-quality English-language reports based on audio/visual materials. Demonstrate nuanced understanding of dialectical variations. Gisting and Summarization Identify and summarize key facts and abstract concepts accurately. Prioritize and extract critical information from large datasets. Use reference materials effectively to support quality output. Security Clearance: A TS/SCI clearance with polygraph is required (must be fully adjudicated before work begins). Qualifications: BA/BS and/or equivalent formal military training and 4-8 years of prior relevant experience or Masters with 2-6 years of prior relevant experience. Additional years of experience may be substituted in lieu of a degree. Translation and/or interpretation degree is highly desired HLT experience a plus Must successfully complete a Leidos-administered language proficiency test or equivalent at the Primary level or higher. Proficiency in Microsoft Office Suite and basic online research. All candidates must take and pass language tests administered by LEIDOS/an accepted commercial testing vendor. Preferred Qualifications: Experience supporting contingency operations as a deployed linguist. Familiarity with the U.S. Intelligence Community, military operations, or law enforcement environments. Ability to effectively brief and communicate findings to various stakeholders. Proficiency in multiple languages is a strong asset. Additional Information: Attending and passing all sponsor related training is a requirement of employment. All Candidates must take and successfully pass a medical laboratory and/or physical screen as required by the program. Successfully completing the required language assessments. Successfully completing the required weapons training. Travel OCONUS is required. Candidate must be able to support the contract 24/7 when on travel. Why Leidos? At Leidos, we’re not just offering a job — we’re offering a mission. As part of the Intel Sector, you'll contribute to a safer world by enabling critical intelligence efforts with AI, machine learning, and digital modernization, _. From safeguarding ports and borders to anticipating geopolitical instability years in advance, our linguists play an integral role in shaping global security. We value innovation, collaboration, and integrity — and we are looking for people who are driven to make a difference. Ready to Elevate Your Career? If you’re a passionate linguist ready to support impactful work on a global scale, we encourage you to apply today. Your greatest work is ahead. At Leidos, the opportunities are boundless. We challenge our staff with interesting assignments that provide them with an opportunity to thrive, professionally and personally. For us, helping you grow your career is good business. We’re excited to learn more about you, apply today! If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo — because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 — and moving faster than anyone else dares. September 1, 2026 For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above. Pay Range $73,450.00 - $132,775.00 The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law. About Leidos Leidos is an industry and technology leader serving government and commercial customers with smarter, more efficient digital and mission innovations. Headquartered in Reston, Virginia, with 47,000 global employees, Leidos reported annual revenues of approximately $16.7 billion for the fiscal year ended January 3, 2025. For more information, visit _. Pay and Benefits Pay and benefits are fundamental to any career decision. That's why we craft compensation packages that reflect the importance of the work we do for our customers. Employment benefits include competitive compensation, Health and Wellness programs, Income Protection, Paid Leave and Retirement. More details are available at _. Securing Your Data Beware of fake employment opportunities using Leidos’ name. Leidos will never ask you to provide payment-related information during any part of the employment application process (i.e., ask you for money), nor will Leidos ever advance money as part of the hiring process (i.e., send you a check or money order before doing any work). Further, Leidos will only communicate with you through emails that are generated by the Leidos.com automated system – never from free commercial services (e.g., Gmail, Yahoo, Hotmail) or via WhatsApp, Telegram, etc. If you received an email purporting to be from Leidos that asks for payment-related information or any other personal information (e.g., about you or your previous employer), and you are concerned about its legitimacy, please make us aware immediately by emailing us at _. If you believe you are the victim of a scam, contact your local law enforcement and report the incident to the _. Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law. Leidos will also consider for employment qualified applicants with criminal histories consistent with relevant laws.

Job Description AI/ML Security Specialist Ashburn, VA 20147 Location: 100% On-Site Security: CBP Suitability, Public Trust Multiple Openings! Position Overview Anakim Consulting is hiring AI/ML Security Specialists at the Junior, Mid, and Senior levels to join our growing team. In this role, you will provide specialized expertise in artificial intelligence and machine learning security, actively addressing and mitigating security risks associated with AI/ML systems and applications. This role supports a dynamic team working at the forefront of protecting intelligent systems. Qualified candidates will have prior experience evaluating AI/ML models for security vulnerabilities, adversarial attacks, and data privacy concerns, and developing robust security controls for AI/ML implementations. Whether you are early in your career or a seasoned expert, you will play a critical role in supporting the secure development of AI/ML solutions, conducting comprehensive security assessments, and contributing to the development of foundational AI/ML security policies and frameworks that address emerging risks in this rapidly evolving field.

Job Description True Zero Technologies, a veteran-owned small business, was founded on the principle that the purposeful enablement of people and technology in an organization directly ties to the quality of its outcomes. True Zero recognizes that those outcomes begin and end with our people, and that is what we have built a community of like-minded, driven, and passionate individuals and innovators who are aligned in a common goal of delivering top-tier services to our customers. Our culture and commitment have been recognized through numerous accolades, including being named one of the Best Places to Work in 2023 in two categories (“Prosperous and Thriving” ($5MM–$50MM in gross revenue) and “Mid-Atlantic Region” (DC, DE, MD, NC, VA, WV)), and again in 2025 as a Best Places to Work honoree. In addition, True Zero earned coveted spots on the Inc. 5000 list of fastest-growing companies in America in 2022, 2023, and 2025, a testament to our sustained growth driven by our people-first approach and unwavering dedication to excellence. True Zero is seeking an experienced AI/ML Cybersecurity Specialist to support the security assessment, operational testing, and protection of artificial intelligence and machine learning systems within a federal environment. This role will focus on identifying vulnerabilities in AI/ML applications, conducting adversarial testing, evaluating security risks, and developing defensive strategies to strengthen the organization's cybersecurity posture. The ideal candidate will possess a strong background in cybersecurity, hands-on experience with AI/ML security testing, and the ability to communicate technical findings and actionable recommendations to federal stakeholders. Job Responsibilities • Conduct Operational Testing and Evaluation (OT&E) of AI/ML applications, models, and supporting infrastructure to identify security vulnerabilities, operational risks, and potential attack vectors., • Perform adversarial AI/ML security assessments, including model evasion, data poisoning, model extraction, adversarial manipulation, and model inversion testing., • Evaluate existing cybersecurity defenses and identify weaknesses that could be exploited through AI-enabled attacks, recommending appropriate mitigation strategies and security controls., • Design, implement, and evaluate defensive security measures to protect AI/ML models, training data, inference pipelines, and deployed applications against emerging threats., • Develop detailed technical assessment reports documenting vulnerabilities, testing methodologies, risk severity, and actionable remediation recommendations., • Create and maintain Standard Operating Procedures (SOPs), security testing plans, threat models, and repeatable methodologies for AI/ML security evaluations., • Collaborate with cybersecurity engineers, AI/ML developers, technical leads, and federal stakeholders to integrate security best practices throughout the AI/ML development and deployment lifecycle., • Ensure AI/ML security assessments, testing procedures, and defensive implementations align with DHS, CBP, NIST, and applicable federal cybersecurity policies and standards.Job Qualifications, • Demonstrated experience in cybersecurity engineering, security assessments, or penetration testing, with a strong focus on AI/ML security, adversarial machine learning, and model evaluation., • Strong understanding of AI/ML architectures, machine learning algorithms, large language models (LLMs), model training pipelines, and secure deployment practices., • Hands-on experience identifying and evaluating AI-specific security vulnerabilities, including prompt injection, adversarial examples, data poisoning, model extraction, model inversion, and evasion attacks., • Experience conducting penetration testing, vulnerability assessments, red teaming, or Operational Testing and Evaluation (OT&E) of software applications, AI/ML models, or supporting infrastructure., • Proficiency with Python and familiarity with AI/ML frameworks such as PyTorch, TensorFlow, or scikit-learn, along with security testing tools and adversarial assessment methodologies., • Knowledge of federal cybersecurity requirements and security frameworks, including NIST AI Risk Management Framework (AI RMF), NIST SP 800-53, NIST Cybersecurity Framework, and applicable DHS/CBP security policies., • Experience developing technical assessment reports, threat models, security testing methodologies, remediation recommendations, and Standard Operating Procedures (SOPs)., • Strong analytical, problem-solving, and written and verbal communication skills, with the ability to present complex technical findings and security recommendations to federal stakeholders, engineering teams, and technical leadership. We’re actively searching for talented security and technology practitioners who are ready to experience the True Zero difference. As a True Zero team member, you'll enjoy: - Competitive salary, paid twice per month - Best in class medical coverage - 100% of medical premiums covered by True Zero - Company wide new business incentive programs - Contribution Incentives (i.e. white papers, blog posts, internal webinars, etc.) - 3 weeks of PTO starting + 11 Paid Holidays Annually - 401k Program with 100% company match on the first 4% - Monthly reimbursement of Cell Phone and Home Internet costs - Paternity/Maternity Leave - Investment in training and certifications to broaden and deepen your technical skills We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

This position requires that the candidate selected be a US Citizen and must currently possess and maintain an active TS/SCI security clearance with polygraph.\n \n \nThe Amazon Web Services Professional Services (ProServe) team is seeking a skilled Delivery Consultant to join our team at Amazon Web Services (AWS). In this role, you'll work closely with customers to design, implement, and manage AWS solutions that meet their technical requirements and business objectives. You'll be a key player in driving customer success through their cloud journey, providing technical expertise and best practices throughout the project lifecycle. Possessing a deep understanding of AWS products and services, as a Delivery Consultant you will be proficient in architecting complex, scalable, and secure solutions tailored to meet the specific needs of each customer. You’ll work closely with stakeholders to gather requirements, assess current infrastructure, and propose effective migration strategies to AWS. As trusted advisors to our customers, providing guidance on industry trends, emerging technologies, and innovative solutions, you will be responsible for leading the implementation process, ensuring adherence to best practices, optimizing performance, and managing risks throughout the project. \n \n \nThe AWS Professional Services organization is a global team of experts that help customers realize their desired business outcomes when using the AWS Cloud. We work together with customer teams and the AWS Partner Network (APN) to execute enterprise cloud computing initiatives. Our team provides assistance through a collection of offerings which help customers achieve specific outcomes related to enterprise cloud adoption. We also deliver focused guidance through our global specialty practices, which cover a variety of solutions, technologies, and industries.\n \n \n \nKey job responsibilities\n \nAs an experienced technology professional, you will be responsible for: \n \n- Designing and implementing complex, scalable, and secure AWS solutions tailored to customer needs\n \n- Providing technical guidance and troubleshooting support throughout project delivery\n \n- Collaborating with stakeholders to gather requirements and propose effective migration strategies\n \n- Acting as a trusted advisor to customers on industry trends and emerging technologies\n \n- Sharing knowledge within the organization through mentoring, training, and creating reusable artifacts\n \n \n \nAbout the team\n \nAbout AWS \n \nAWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. \n \n \nWhy AWS? Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. \n \n \nInclusive Team Culture Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences, inspire us to never stop embracing our uniqueness. \n \n \nMentorship & Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. \n \n \nWork/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.\n \nBASIC QUALIFICATIONS- Bachelor's degree in Computer Science, Engineering, or a related field\n \n- 5+ years of work with software development lifecycle from conception to delivery experience\n \n- Experience in designing, planning and implementing applications and/or database migrations to the cloud\n \n- 5+ years of external or internal customer facing, complex and large scale project management experience\n \n- Current, active US Government Security Clearance of TS/SCI with Polygraph\n \nPREFERRED QUALIFICATIONS- Experience presenting technical solutions to diverse audiences in pre-sales environments\n \n- Knowledge of AWS services including compute, storage, networking, security, databases, machine learning, and serverless technologies\n \n- Experience in performance optimization and cost management for cloud environments\n \n- Database experience (e.g. SQL, NoSQL, Hadoop, Spark, Kafka, Kinesis)\n \n- Experience with automation and scripting (e.g., Terraform, Python)\n \n- Knowledge of security and compliance standards (e.g., HIPAA, GDPR)\n \n- Experience with AWS data/file transfer solutions including AWS Application Migration Service (MGN), AWS Database Migration Service (DMS), and/or AWS DataSync\n \n \nAmazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.\n \n \nOur inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.\n \n \n The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits. \n \n \nUSA, MO, St. Louis - 153,600.00 - 207,800.00 USD annually

Application deadline: Nov 5, 2026\n \n \nThe Amazon Web Services Professional Services (ProServe) team is seeking a skilled Delivery Consultant to join our team at Amazon Web Services (AWS). In this role, you'll work closely with customers to design, implement, and manage AWS solutions that meet their technical requirements and business objectives. You'll be a key player in driving customer success through their cloud journey, providing technical expertise and best practices throughout the project lifecycle. Possessing a deep understanding of AWS products and services, as a Delivery Consultant you will be proficient in architecting complex, scalable, and secure solutions tailored to meet the specific needs of each customer. You’ll work closely with stakeholders to gather requirements, assess current infrastructure, and propose effective migration strategies to AWS. As trusted advisors to our customers, providing guidance on industry trends, emerging technologies, and innovative solutions, you will be responsible for leading the implementation process, ensuring adherence to best practices, optimizing performance, and managing risks throughout the project. \n \n \nThe AWS Professional Services organization is a global team of experts that help customers realize their desired business outcomes when using the AWS Cloud. We work together with customer teams and the AWS Partner Network (APN) to execute enterprise cloud computing initiatives. Our team provides assistance through a collection of offerings which help customers achieve specific outcomes related to enterprise cloud adoption. We also deliver focused guidance through our global specialty practices, which cover a variety of solutions, technologies, and industries.\n \n \nThis position requires that the candidate selected must currently possess and maintain an active TS/SCI Security Clearance with Polygraph. \n \n \nKey job responsibilities\n \nAs an experienced technology professional, you will be responsible for: \n \n- Designing and implementing complex, scalable, and secure AWS solutions tailored to customer needs\n \n- Providing technical guidance and troubleshooting support throughout project delivery\n \n- Collaborating with stakeholders to gather requirements and propose effective migration strategies\n \n- Acting as a trusted advisor to customers on industry trends and emerging technologies\n \n- Sharing knowledge within the organization through mentoring, training, and creating reusable artifacts\n \n \nAbout the team\n \nDiverse Experiences: AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job below, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.\n \n \nWhy AWS? Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.\n \n \nInclusive Team Culture - Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (diversity) conferences, inspire us to never stop embracing our uniqueness.\n \n \nMentorship & Career Growth - We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.\n \n \nWork/Life Balance - We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.\n \nBASIC QUALIFICATIONS- 3+ years of cloud architecture and solution implementation experience\n \n- Knowledge of the primary aws services (ec2, elb, rds, route53 & s3)\n \n- Experience implementing AWS services in a variety of distributed computing environments\n \n- Bachelor's degree or above in business administration, finance, economics, computer science, data science, engineering, or other related field\n \n- Current, active US Government Security Clearance of TS/SCI with Polygraph\n \nPREFERRED QUALIFICATIONS- 5+ years of IT implementation experience\n \n- degree in advanced technology, or AWS Professional level certification\n \n- Knowledge of AWS services including compute, storage, networking, security, databases, machine learning, and serverless technologies\n \n- Knowledge of security and compliance standards including HIPAA and GDPR\n \n- Experience and technical expertise (design and implementation) in cloud computing technologies\n \n- Experience leading the design, development and deployment of business software at scale or recent hands-on technology infrastructure, network, compute, storage, and virtualization experience\n \n- Experience in performance optimization and cost management for cloud environments\n \n \nAmazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.\n \n \nOur inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.\n \n \n The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits. \n \n \nUSA, MO, St. Louis - 131,300.00 - 177,600.00 USD annually\n \nUSA, VA, Arlington - 131,300.00 - 177,600.00 USD annually\n \nUSA, VA, Herndon - 131,300.00 - 177,600.00 USD annually

REI Systems’ mission is to deliver reliable, innovative technology solutions that advance Federal clients' missions and exceed their expectations. Our technologists and consultants are passionate about solving complex challenges that impact millions of lives. We take a Mindful Modernization® approach in delivering our services, including application modernization, grants management, case management systems, government data analytics, and advisory services. This approach, the REI Way, ensures mission impact by aligning our clients' strategic objectives with measurable outcomes through people, processes, and technology. We offer the same commitment to our employees by providing professional development, meaningful projects, and flexibility to spend time with family and friends. We believe employees are at their best when fulfilled in both their professional careers and their personal lives. Learn more at www.REIsystems.com Employees voted REI Systems a Washington Post Top Workplace in 2015, 2016, 2018, 2020, 2021, 2022, 2023, 2024, and 2025! Responsibilities Position Overview REI Systems is seeking experienced Developer / Database Administrators (DBAs) to support a mission-critical Federal Health IT program focused on application modernization, database engineering, data integration, analytics, and cloud-based solutions. The ideal candidate will bring strong hands-on expertise in Oracle SQL, PL/SQL, database development, ETL processes, performance optimization, and AWS cloud technologies. This individual will play a critical role in designing, developing, maintaining, and optimizing enterprise database solutions that support complex federal applications and business operations. The Developer DBA will collaborate with software developers, solution architects, DevOps engineers, data engineers, Product Owners, and Agile delivery teams to implement scalable, secure, and high-performing database solutions. This role also offers opportunities to leverage AI-assisted development tools, intelligent automation, and modern DevSecOps practices to improve engineering productivity, code quality, testing, and operational efficiency. Responsibilities Database Development and Engineering • Design, develop, implement, and maintain Oracle database solutions, including stored procedures, packages, functions, triggers, views, materialized views, and sequences., • Develop and optimize complex SQL queries and PL/SQL code supporting enterprise applications, reporting, and business processes., • Perform database performance tuning, query optimization, indexing, partitioning, and execution plan analysis., • Design and maintain database schemas, data models, entity relationship diagrams (ERDs), and database objects., • Develop database migration scripts, schema modifications, deployment packages, and automated database release processes., • Troubleshoot database performance issues, application integration challenges, and data integrity concerns., • Support database administration and operational activities, including monitoring, troubleshooting, and production support. ETL, Data Integration, and Cloud Technologies • Design, develop, and maintain ETL workflows, data integration pipelines, and data transformation processes., • Develop and support batch processing, data migration, data validation, and reconciliation solutions., • Work with Matillion ETL or comparable enterprise ETL tools to develop and maintain data integration pipelines., • Support cloud-based data engineering and analytics solutions utilizing AWS services, including Amazon Redshift, Amazon RDS, and Amazon S3., • Analyze complex application data models, data mappings, and enterprise data flows., • Collaborate with application and data engineering teams to ensure reliable data integration across multiple systems., • Support database and application modernization initiatives, including cloud migration and integration efforts. Application Development and DevSecOps • Partner with application developers, architects, and technical teams to design efficient database solutions aligned with business and technical requirements., • Develop and maintain database unit tests, regression tests, data validation scripts, and deployment verification processes., • Support CI/CD pipelines and automated database deployments using modern DevSecOps practices., • Participate in code reviews, technical design discussions, and troubleshooting activities., • Support production deployments, incident resolution, root-cause analysis, and post-release validation., • Maintain technical documentation, including database designs, deployment procedures, data mappings, and operational support guides. AI-Assisted Development and Automation • Utilize approved AI-assisted development tools to enhance SQL and PL/SQL development, testing, documentation, and troubleshooting., • Identify opportunities to automate repetitive database development, validation, and operational activities., • Support AI-enabled software development lifecycle (SDLC) practices to improve engineering productivity and delivery quality., • Apply responsible AI practices while maintaining data security, privacy, and compliance requirements. Agile Collaboration and Federal Compliance • Participate in Agile ceremonies, including sprint planning, backlog refinement, daily standups, sprint reviews, and retrospectives., • Collaborate with Product Owners, Scrum Masters, business analysts, developers, and federal stakeholders to deliver high-quality solutions., • Ensure database solutions follow established security, governance, and compliance standards., • Support federal cybersecurity requirements and best practices aligned with FISMA, NIST, and FedRAMP, as applicable., • Implement secure database development practices, including access controls, audit logging, and data protection measures. Qualifications • Minimum of 5 years of professional experience in Oracle database development, database engineering, ETL development, data integration, or related software engineering roles., • Strong hands-on experience with Oracle SQL and PL/SQL, including:, • Stored procedures, functions, packages, and triggers., • Complex SQL queries, views, materialized views, and sequences., • Query optimization, indexing, execution plans, and performance tuning., • Oracle SQL Developer, SQL*Loader, or similar Oracle development utilities., • Experience designing, developing, troubleshooting, and maintaining enterprise database solutions., • Hands-on experience developing ETL workflows, data transformation processes, batch processing, and data migration solutions., • Experience working with AWS cloud technologies, including Amazon Redshift, Amazon RDS, and Amazon S3., • Experience with Matillion ETL or comparable ETL/data integration platforms., • Strong understanding of relational database architecture, logical and physical data modeling, normalization, referential integrity, and transaction management., • Experience with database performance tuning, query optimization, and troubleshooting., • Experience supporting complex enterprise applications and production database environments., • Experience developing database unit tests, regression tests, data validation processes, and deployment verification scripts., • Experience supporting production deployments, incident management, root-cause analysis, and issue resolution., • Familiarity with CI/CD pipelines, source control, release automation, and DevSecOps practices., • Experience using tools such as Git, GitHub, GitLab, Bitbucket, or Azure DevOps., • Experience working in Agile/Scrum development environments., • Familiarity with AI-assisted development tools and automation practices to improve software engineering productivity., • Understanding of secure development practices, data privacy, cybersecurity, and responsible AI adoption., • Strong analytical, troubleshooting, problem-solving, and communication skills., • Ability to work independently and collaboratively in a fast-paced, mission-driven environment., • Must be able to obtain and maintain a Federal Public Trust clearance, with approved adjudication required before onboarding. Preferred Qualifications • Previous experience supporting Federal Government IT programs, particularly within Health IT or large-scale enterprise environments., • Experience with grants management, financial management, case management, or workflow-driven applications., • Experience with Oracle Data Pump, Oracle GoldenGate, Oracle Data Integrator (ODI), Informatica, Talend, Liquibase, or Flyway., • Experience with additional database technologies such as PostgreSQL, SQL Server, or MySQL., • Experience supporting cloud modernization, database migration, or application modernization initiatives., • Knowledge of data warehousing, dimensional modeling, enterprise reporting, and business intelligence technologies., • Experience with Power BI, Tableau, Amazon QuickSight, or comparable analytics platforms., • Familiarity with AWS cloud-native architectures and enterprise data platforms., • Experience supporting data pipelines for analytics, AI, or machine learning workloads., • Familiarity with AI-enabled DevSecOps, intelligent automation, and AI-assisted database engineering., • Knowledge of emerging AI technologies, including vector databases, retrieval-augmented generation (RAG), AI agents, and enterprise AI platforms., • Understanding of federal security and compliance requirements, including FISMA, NIST, and FedRAMP., • Active Federal Public Trust clearance or favorable suitability determination., • Relevant Oracle certifications, such as:, • Oracle Certified Professional (OCP)., • Oracle Database Administrator Certified Professional., • Oracle SQL Certified Associate. Education: Bachelor’s degree in Business, Engineering, Computer Science, or related field. Masters degree preferred. Clearance: Ability to obtain and maintain a clearance is preferred. Location: Hybrid: 2 days per week at REI Systems’ Sterling, VA office. EEO Statement: REI Systems is an Equal Opportunity Employer

About Cignus Cignus Consulting is an SBA 8(a)-certified, MBE/DBE aviation technology and engineering firm headquartered in Leesburg, Virginia. Since 2007 we have supported the FAA, NASA, DoD, airport authorities, and aviation clients with systems engineering, airspace and airside simulation, aviation data analytics, and software products built on standards like SWIM, ADS-B, and ARINC 424. Our work ranges from federal task orders and SBIR research to commercial simulation and digital twin platforms. We are a small team doing technically serious work, which means the person in this role will have direct access to leadership and an unusually short path from concept to deployment against live data. The Role We are looking for a Data Scientist to lead modeling on our NASA SBIR research in in-time aviation safety. The work turns live surveillance tracks, SWIM feeds, ATC audio, weather, and NOTAMs into systems that predict unsafe operations on airport surfaces and in terminal airspace before they become incidents. The problems are real-time, multimodal, and uncertain, and none of them have settled solutions. You will own the models: state estimation, event prediction, and the speech and vision stack. This is a research role with operational consequences, so we need someone who understands both the math and the airport. What You Will Do • Develop probabilistic models (HMM and GMM class) that infer aircraft activity from noisy, sparse, and irregularly sampled position data, and that report calibrated confidence as surveillance quality degrades, • Forecast when an aircraft will reach a runway, cross a hold-short line, or begin its takeoff roll, with quantified uncertainty. Alert lead time is the core value of the system, and a prediction without a defensible error bound is not operationally usable, • Fine-tune ASR models (Whisper with LoRA) on live ATC audio and build the parsing layer that converts a transmission into structured intent (callsign, taxi route, hold-short, crossing authorization) at roughly one second of latency, • Associate tracks across ADS-B, computer vision detections, and parsed voice clearances that arrive at different update rates and on different clocks (JPDA-class association, EKF state estimation), so that deviation from a cleared taxi route is detected as it happens, • Detect and track aircraft, vehicles, and ground equipment that broadcast no position at all (YOLO-class detection with ByteTrack), closing the blind spot left by cooperative surveillance, • Build and defend the performance evidence presented to NASA, including alert lead time, false alert rate, degradation behavior, and model behavior when an input is lost, • Contribute to technical reports, program briefings, publications, and follow-on proposals Required Qualifications • PhD in machine learning, statistics, aerospace engineering, operations research, or a related field, or an MS with at least 3 years building models against real operational data, • Aviation industry background with direct work experience involving the FAA, NASA, airports, airlines, or air traffic management. This can come from ATC, flight operations, airport operations, avionics, or prior aviation research, but it needs to be deep enough that you can tell when a model output makes no operational sense, • Strong probabilistic modeling, including Bayesian inference, state-space and sequence models, and uncertainty quantification. We weight calibration more heavily than benchmark accuracy, • Demonstrated depth in at least one of the following: time-series or trajectory prediction, speech recognition and NLP, computer vision and multi-object tracking, or sensor fusion and target tracking, • Fluency in Python and the modern ML stack (PyTorch, scikit-learn, pandas), with experience on large and imperfect operational datasets, • A disciplined approach to model failure, meaning you characterize how a model behaves when it is wrong and report it early, • U.S. work authorization Preferred Qualifications • Hands-on experience with FAA or NASA data such as ASDE-X, SWIM, ADS-B, ASRS, or ASIAS, • Pilot certificate, ATC training or experience, or airport surface operations experience, • Real-time or streaming inference in production, • LoRA or PEFT fine-tuning experience, • Working knowledge of aviation data standards and simulation tools (ARINC 424, BADA, TAAM, AirTOp), • Prior work on SBIR/STTR or other federal research programs, • AWS experience Work Structure Hybrid. This role requires regular presence at our Leesburg office, with flexibility on the rest. Remote candidates will not be considered.

Job Title: CNC Programmer Job Category: Engineering and Technical Support Time Type: Full time Minimum Clearance Required to Start: None Employee Type: Regular Percentage of Travel Required: Up to 10% Type of Travel: Local • * Job Description The Opportunity: Join a dynamic, collaborative team where you will have the opportunity to work alongside engineers from a variety of disciplines. Use your fabrication skills to create prototypes and work with test engineers and production personnel to prepare new technical solutions that can be deployed to fielded systems and support the warfighter. Excellent opportunities for professional growth and career advancement as you take on new challenges and opportunities to expand your skill set. Responsibilities: Lead programmer and material planner for small machine shop. Currently programming for wire EDM and 4 axis mill using Mastercam and/or Solidworks CAM. Machine prototype components using CNC and manual mills and lathes. Program, setup, and operate 3- or 4 -axis CNC machines. Collaborate with design engineers, make recommendations and share best practices with machining approaches and materials as a subject matter expert (SME) on machining Read and interpret engineering drawings (CAD/CAM) and tolerancing schemes, including GD&T. Maintain machine shop equipment for function and cleanliness. Qualifications: Required: • High School Diploma or GED, • 5-10 years of experience with setting up, programming, editing and operating CNC milling and lathe machines, • Experience with machining metals (aluminum, stainless steel) and other materials, • Experience with design process and mechanical assembly. Must be able to read and interpret drawings and blueprints, • Must be able to obtain and maintain an DoD Secret Clearance, • Effective verbal and written communication in English, • Basic MS Windows skills, • Ability to perform basic mathematical computations, • Ability to apply concepts such as fractions, percentages, ratios, and proportions to practical situations, • PHYSICAL DEMANDS - Ability to lift 50 lbs. when required; While performing the duties of the job, the employee is regularly required to stand, walk, and reach with hands and arms; Specific vision abilities required by this job include close vision, distance vision, color vision, depth perception, and ability to adjust focus undefined Desired: • Experience with machine maintenance., • Experience with waterjet and laser cutting. This position is contingent on funding and may not be filled immediately. However, this position is representative of positions within CACI that are consistently available. Individuals who apply may also be considered for other positions at CACI. What You Can Expect: A culture of integrity. At CACI, we place character and innovation at the center of everything we do. As a valued team member, you'll be part of a high-performing group dedicated to our customer's missions and driven by a higher purpose - to ensure the safety of our nation. An environment of trust. CACI values the unique contributions that every employee brings to our company and our customers - every day. You'll have the autonomy to take the time you need through a unique flexible time off benefit and have access to robust learning resources to make your ambitions a reality. A focus on continuous growth. Together, we will advance our nation's most critical missions, build on our lengthy track record of business success, and find opportunities to break new ground - in your career and in our legacy. Pay Range: There are a host of factors that can influence final salary including, but not limited to, geographic location, Federal Government contract labor categories and contract wage rates, relevant prior work experience, specific skills and competencies, education, and certifications. Our employees value the flexibility at CACI that allows them to balance quality work and their personal lives. We offer competitive compensation, benefits and learning and development opportunities. Our broad and competitive mix of benefits options is designed to support and protect employees and their families. At CACI, you will receive comprehensive benefits such as; healthcare, wellness, financial, retirement, family support, continuing education, and time off benefits. The proposed salary range for this position is: $70,800 - $148,600 CACI is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, age, national origin, disability, status as a protected veteran, or any other protected characteristic.

Job Description Ideal Candidate Profile:Seeking an AI Engineer with experience in AI/ML engineering, Python development, cloud-based data pipelines, and machine learning frameworks. Must hold an active Top Secret (TS) security clearance and DoD 8140 certification, with knowledge of AI model governance, lifecycle management, agentic AI, RAG architectures, vector databases, and AI monitoring, preferably in DoD or Intelligence Community environments. Job Duties & Responsibilities Support the design and implementation of AI/ML architectures and cloud-based data pipelines. Develop AI model governance frameworks, monitoring processes, and lifecycle management capabilities. Design and implement agentic AI architectures, including multi-agent orchestration frameworks and autonomous workflow solutions. Develop retrieval-augmented generation (RAG) architectures and vector database integrations. Support explainability, bias detection, model performance monitoring, and drift management activities. Collaborate with enterprise architects and engineering teams to integrate AI technologies into enterprise platforms. Support architecture governance reviews and technical assessments. Document AI architecture designs, standards, and implementation guidance. Required Skills Active Top Secret (TS) security clearance with SCI eligibility. Bachelor's degree in Computer Science, Engineering, Data Science, or related field, Master preferred 3 years of experience supporting AI/ML engineering or solution development. Experience with cloud platforms such as AWS, Azure, or Google Cloud. Experience with Python, machine learning frameworks, and API development. Understanding of AI governance, model lifecycle management, and data architecture concepts. Must be DOW 8140 certified Ability to obtain and maintain required Top Secret government security clearance. Preferred Skills Master's degree in Computer Science, Engineering, Information Technology, or related discipline. Experience supporting DoD or Intelligence Community environments. AWS or Azure AI/ML specialty certification Experience with large language models (LLMs), RAG, and vector databases. Knowledge of MLOps tools and AI observability platforms. Familiarity with NIST AI Risk Management Framework and DoD AI guidance.

Job Description *Candidates must possess US Citizenship with the ability to gain a government security clearance. About Infinitive: Infinitive is a data and AI consultancy that enables its clients to modernize, monetize and operationalize their data to create lasting and substantial value. We possess deep industry and technology expertise to drive and sustain adoption of new capabilities. We match our people and personalities to our clients' culture while bringing the right mix of talent and skills to enable high return on investment. Infinitive has been named “Best Small Firms to Work For” by Consulting Magazine 9 times most recently in 2026. Infinitive has also been named a Washington Post “Top Workplace”, Washington Business Journal “Best Places to Work”, and Virginia Business “Best Places to Work.” Job Summary: We are seeking a highly skilled Data Engineer with extensive experience in Databricks on AWS or Azure to join our dynamic team. The ideal candidate will be responsible for designing, building, and maintaining scalable data architectures, ensuring data integrity, and optimizing data flow and collection. This role requires a deep understanding of cloud-based data solutions and strong expertise in leveraging Databricks to drive data initiatives. Key Responsibilities: Design, develop, and implement data architectures and solutions on Databricks in both AWS and Azure. Collaborate with stakeholders to understand business requirements and translate them into technical specifications. Develop and maintain ETL processes to ensure efficient data flow and integration across systems. Ensure data quality, integrity, and security in all data-related activities. Optimize data storage and retrieval strategies to improve performance and cost-efficiency. Lead the implementation of data governance policies and procedures. Provide technical guidance and mentorship to data engineering teams. Stay updated with the latest industry trends and best practices in data architecture, Databricks, cloud data warehouses, AWS and Azure. Required Skills and Qualifications: Bachelor’s or Master’s degree in Computer Science, Information Technology, or related field. Proven experience as a Data Architect, with a strong focus on Databricks. Proficiency in Databricks, including the ability to build and optimize Spark applications. Extensive experience with AWS services such as S3, Redshift, EMR, Lambda, Glue, and others. Strong knowledge of Unity Catalog and its application in managing and securing data assets. Strong knowledge of data modeling, ETL processes, and data warehousing concepts. Proficiency in SQL and experience with big data technologies (e.g., Hadoop, Spark). Familiarity with data governance and data security practices. Databricks Certified Professional. Excellent problem-solving skills and attention to detail. Strong communication and collaboration skills. Preferred Qualifications: AWS Certified Solutions Architect or similar certification. Experience with other cloud platforms (e.g., Azure, GCP). Knowledge of machine learning and data science concepts. Experience with data visualization tools (e.g., Tableau, Power BI). • Prior experience in a leadership or mentorship role. Infinitive is required by law in some jurisdictions to include a reasonable estimate of the compensation range for this role. The determination of this range includes various factors not limited to skill set, level, experience, relevant training, and licensure and certifications. Compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range for this role in the U.S. is $124,000 - $190,00.00. Infinitive is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by applicable federal, state, or local law. Powered by JazzHR AofA1xu3Et

Job Description KDA Consulting Inc. is seeking a highly skilled Data Scientist with AI/ML expertise to support mission-critical programs within the Intelligence Community (IC). This role will focus on leveraging advanced analytics, machine learning, and artificial intelligence to extract insights from large, complex datasets and support data-driven decision-making. The ideal candidate will have a strong foundation in statistical analysis, machine learning model development, and data visualization, along with the ability to translate complex findings into actionable insights for both technical and non-technical stakeholders. Machine Learning & AI Development • Design, develop, and deploy machine learning models to solve complex mission problems, • Build predictive and prescriptive analytics solutions to support operational and strategic decision-making, • Evaluate model performance and continuously improve algorithms through testing and tuning Data Analysis & Exploration • Analyze large, structured and unstructured datasets to identify trends, patterns, and anomalies, • Perform data cleansing, feature engineering, and transformation to prepare data for modeling, • Apply statistical techniques to validate hypotheses and support analytical findings Data Visualization & Communication • Develop dashboards, visualizations, and reports using tools such as Tableau, Power BI, or Python visualization libraries, • Communicate insights and recommendations clearly to both technical teams and senior leadership, • Translate complex analytical results into actionable business or mission outcomes Model Deployment & Integration • Collaborate with data engineers and software developers to operationalize models into production environments, • Integrate machine learning solutions into enterprise systems and workflows, • Support cloud-based model deployment in environments such as AWS or Azure Collaboration & Agile Delivery • Work closely with cross-functional teams including engineers, analysts, and mission stakeholders, • Participate in Agile processes including sprint planning, stand-ups, and retrospectives, • Contribute to continuous improvement of data science methodologies and processes Requirements Active TS/SCI W/ Polygraph Required. Bachelor’s degree in Data Science, Computer Science, Mathematics, Statistics, or a related field (or equivalent experience) Strong experience in data science, machine learning, and statistical analysis Proficiency in Python and experience with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn Experience analyzing and working with large-scale datasets Strong understanding of statistical modeling, probability, and data analysis techniques Experience with data visualization tools and communicating insights effectively Strong problem-solving skills and ability to work in complex, mission-driven environments

Job Description AI Data Scientist: At B&A, we foster and embrace a distinct set of values that we live by and instill in all aspects of our organization: dedication, commitment, partnership, trust, and recognition. We have incorporated these values into successful delivery for our customers since 1988. B&A believes in ensuring its employees feel deeply connected to B&A, recognizing successes and hard work, and providing continuous opportunities to learn and grow. Our people are entrepreneurial thinkers that combine mindset, vision, and experience to drive value – not only to us as an organization, but to the clients we support. We promote a collaborative culture with our clients, and with each other, as one team working towards a common vision. We’d love for you to join our team! Job Summary: B&A is looking for an AI Data Scientist to join a contract with a federal government client in support of an important mission. This role serves as a key Data Scientist on our work for national digital outreach programs for a large federal government agency. The ideal candidate has a combination of technical, operational, and interpersonal skills, with demonstrated expertise in collaborating with cross-functional teams to collect and interpret complex datasets. Candidates must have a desire to be part of a data-driven, customer-focused, fast-paced team that loves the mission of improving the citizen's experience and providing excellent service to government customers. Responsibilities: • Design and implement machine learning models, Gen-AI (LLM) and NLP models, and statistical methods to solve complex business challenges., • Build scalable solutions for predictive modeling, optimization, and decision support., • Analyze large and complex data sets to uncover trends, generate actionable insights, and support data-driven strategies., • Communicate findings effectively to both technical and non-technical audiences., • Collaborate with cross-functional teams (internally, with partners and with customers) to collect and interpret data., • Explore and apply cutting-edge AI/ML techniques to enhance analytical capabilities and deliver measurable impact., • Design and produce compelling data visualizations and interactive dashboards., • Transform complex findings into intuitive visual reports and dashboards to facilitate understanding for non-technical audiences., • Stay updated with the latest trends in data visualization and integrate innovative techniques into the workflow., • Work closely with the distributed teams and stakeholders to ensure the data infrastructure decisions factor the interests and data goals of the company and its partners., • Advocate for data science and analytics principles/best-practices in design/requirements discussions with customers, • Engage with stakeholders to understand their needs and tailor visualizations accordingly. Education and Experience: • Minimum 5+ years of experience in Data Science., • Bachelor's degree in Computer Science, Mathematics, Statistics or Information Systems required. Master's degree is preferred Required Skills: • Working knowledge and understanding of supervised and unsupervised learning algorithms such as regression, classification, clustering, and dimensionality reduction., • Experience with Large and Small Language models, Vision models, Prompt and Context engineering., • Experience with advanced techniques like deep learning, reinforcement learning, and natural language processing (NLP)., • Experience with ML libraries and frameworks (e.g., TensorFlow, PyTorch, Scikit-learn, XGBoost)., • Strong foundation in statistical methods, hypothesis testing, and experimental design., • Proficiency with Data Visualization tools like Tableau, QuickSight, Power BI, QlikView, or D3.js., • Strong analytical skills with the ability to analyze complex data and produce actionable insights., • Experience with AWS data and analytics technologies including EMR, Redshift, SageMaker, Comprehend, QuickSight, Glue, and S3, • Proficiency in Python and/or R for data analysis and ML development., • Proficiency in SQL for data extraction and manipulation. Security Clearance: • Active TS or CBP BI Physical & Work Environment Requirements Employees must be able to perform the essential functions of this position, with or without accommodation. • Ability to remain stationary for extended periods while working at a computer., • Frequently operate standard office equipment, including computers and telephones., • Ability to communicate effectively in person, by telephone, video conference, and email., • Occasionally move about the office and lift up to 20 pounds., • Ability to work the assigned schedule with regular and reliable attendance., • Ability to travel up to 10% as required. More About B&A: Notable Clients B&A has grown to be a company that is trusted by our clients for exceptional service, innovative solutions, and inspired employees. Our service extends through federal, state, and local Government, the private sector, and higher education. Some of our notable clients include Department of Homeland Security, U.S. Customs and Border Protection, U.S. Senate, U.S. Courts, U.S. Census Bureau, U.S. Navy, and more. Benefits and Programs B&A is proud to offer three robust individual and family medical plans to full time employees, including a Health Savings Account (HSA) option as well as two tiers of dental coverage, vision, life & AD&D, disability, accident, hospital indemnity, and critical illness insurance. In addition to these benefits, B&A employees enjoy paid time off, B&A sponsored trainings and certifications, pet insurance benefits, commuter transit benefits and a free subscription to a virtual exercise platform (NEOU). B&A’s 401(k) plan is available to all employees and includes a company matching contribution. B&A has launched several programs to focus on employee engagement, wellness, and assistance. These include: • The B&A Cares program: 30/60/90-day wellness check ins, personal development, financial management, and stress management seminars, and more, • A formal mentorship program, • Job shadowing and cross training opportunities, • Brand Ambassador program, • Employee Assistance Program (EAP) - Access to various support resources to include counseling, legal guidance, financial planning, and more, • Monthly teambuilding events, • B&A Annual Wellness Challenges: #StepWithB&A, #WalkDuringLunchWithB&A, #VolunteeringWithB&A, #ExerciseDuringLunchWithB&A, and more At B&A, we place significant importance on improving the communities and lives of citizens across the nation through our involvement, technology expertise, and employees. B&A puts an emphasis on charitable efforts in the Northern Virginia area, including Capital Area Food Bank pantry drives, book donations, Hope for Henry Foundation events, and many more. In recognition of all these efforts, B&A has been named a Companies as Responsive Employers (CARE) award recipient by Northern Virginia Family Services and nominated by the Northern Virginia Chamber of Commerce for Outstanding Corporate Citizenship Award. EEO B&A provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, disability, genetic information, marital status, amnesty, or status as a covered veteran in accordance with applicable federal, state and local laws. B&A complies with applicable state and local laws governing non-discrimination in employment in every location in which the company has facilities. This policy covers conduct occurring at B&A’s offices, and other workplaces (including client sites) and all other locations where B&A is providing services, and to all work-related activities. EEO is the Law B&A participates in e-Verify. We provide the Social Security Administration (SSA) and, if necessary, the Department of Homeland Security (DHS) with information from each new employee’s I-9 Form to confirm work authorization.

Job Description DevOps Engineer ABOUT US Hey! We’re Molg We’re building robotic systems that make electronics manufacturing circular. We work with hyperscalers and leading electronics manufacturers to automate how hardware is designed, manufactured, disassembled, repaired, reused, and recovered. Using robotics, computational design, and AI, our systems turn today’s e-waste into resilient, data-driven supply chains—and change how electronics are made in the first place. IN THIS ROLE YOU WILL: Join a talented cross-functional team of software, robotics, and hardware engineers to build and own the infrastructure, tooling, and deployment systems that power Molg’s robotic microfactories and software platforms. As a DevOps Engineer, you will: • Design, build, and maintain CI/CD pipelines that support rapid, reliable deployment of software across robotics, embedded, and on-premise systems., • Collaborate with software and robotics engineers to containerize workloads using Docker/Orbstack, ensuring consistent environments from development through production across local and factory-floor deployments., • Develop and maintain automated build, test, and release pipelines—integrating hardware-in-the-loop (HIL) and software-in-the-loop (SIL) test stages for robotics system validation., • Establish robust monitoring, alerting, and observability across Molg’s fleet of deployed robotic systems and on-premise infrastructure., • Partner with QA and engineering teams to define quality gates in CI/CD pipelines and ensure regressions are caught before reaching production., • Manage and improve developer tooling, local dev environments, and internal platform services to maximize engineering velocity., • Drive security best practices across infrastructure—secrets management, access control, vulnerability scanning, and network security for on-premise systems., • Administer and maintain local networking infrastructure including switches, VLANs, firewalls, and machine-to-machine communication across the factory floor., • Respond to and resolve infrastructure incidents, conduct post-mortems, and implement lasting fixes., • Contribute to a culture of automation—if something is done manually more than twice, help build the system that makes it automatic. You’ll have the opportunity to build alongside an incredible team, develop innovative solutions, and grow in a fast-paced environment that values autonomy and impact. WHO YOU ARE: A systems-minded engineer who thrives at the intersection of software and infrastructure—comfortable scripting, architecting pipelines, and troubleshooting deep in the stack. You take pride in the reliability and scalability of the systems you build, and you understand that great DevOps is an enabler for every other engineer on the team. Specifically, you have: • 5+ years of industry experience in DevOps, platform engineering, or site reliability engineering, with demonstrated ownership of production infrastructure., • Proficiency with CI/CD tooling such as GitHub Actions, GitLab CI, Jenkins, or similar—including pipeline design, secrets management, and artifact management., • Strong experience with containerization using Docker and Docker Compose—building, deploying, and managing containers across on-premise environments., • Hands-on experience with infrastructure-as-code tools (Ansible, Terraform, or equivalent) managing on-premise servers and networked systems., • Solid scripting and automation skills in Python and/or Bash., • Experience administering Linux systems in a production environment—server provisioning, hardening, storage, and maintenance., • Familiarity with monitoring and observability stacks (Prometheus, Grafana, Datadog, ELK, or similar)., • Experience supporting embedded or robotics systems, edge deployments, or industrial environments is a strong plus., • Strong networking fundamentals: TCP/IP, VLANs, DNS, VPNs, firewalls, and local area network administration., • Strong communication skills and a bias toward documentation—you leave things better than you found them., • Ability to work in-person at Molg HQ in Sterling, VA. REPORTING STRUCTURE: This role reports directly to the Director of Process Engineering. WHO WE ARE: We spend our days building robotic systems, developing complex assembly intelligence software, and designing the next generation of circular products for our customers. Given the importance of working hands-on with physical systems, we are a 100% in-person team collaboratively working in our industrial space in Sterling, VA, down the road from the largest data center market in the world. Our facility includes a variety of robots, CNC milling machines, 3D printers, and all the tools needed to build and test our products. It is important to us that anyone on our team that is interested in learning how to use our various pieces of equipment and machinery is taught and can gain the skills and appreciation for making physical things. THINGS TO KNOW: • We’re a hands-on collaborative team with big ambitions, and there’s a good amount of context-switching. We expect people to be autonomous and drive their own work to completion., • We are scrappy and looking to build a great sustainable company for years to come., • As a growing company and startup, priorities may shift as customer or business requirements change. We strive to empower individuals with context and decision-making power to meet this need.

Job Description Dark Wolf is looking for summer interns to join us at our office in Herndon, VA. Northern Virginia is one of the fastest-growing tech hubs on the East Coast. Outside of the office, you'll join a community of interns with access to local networking events, professional development workshops, and the vibrant culture of Dark Wolf, spanning multiple areas. Software Development, Google Cloud Delivery, Data&AI, Cybersecurity and Mission Enablement. Location: Herndon, VA Duration: June 2027 – August 2027 Type: Full-Time Internship (Paid) Software Delivery and Cloud Internship: As an intern in our NoVA technology hub, you will work at the intersection of modern software delivery and emerging intelligence. This role is designed for students who are passionate about building scalable applications, leveraging cloud infrastructure, and implementing data-driven AI solutions. You won't just be shadowing; you will be an active member of an Agile squad contributing to production-level code. Key Responsibilities Software Development: Design, develop, and test features using languages such as Python, Java, or Node.js. Cloud & Delivery: Assist in deploying applications to cloud environments (AWS, Azure, or GCP) and managing CI/CD pipelines to automate software delivery. Data Engineering: Build and optimize data pipelines to ensure high-quality data is available for analysis and model training. AI & Machine Learning: Support the integration of Generative AI and LLMs into existing workflows, performing prompt engineering and model fine-tuning. Agile Collaboration: Participate in daily stand-ups, sprint planning, and retrospectives to experience the full Software Development Life Cycle (SDLC). Required Skills & Qualifications Current Enrollment: Pursuing a Bachelor's or Master's degree in Computer Science, Data Science, Computer Engineering, or a related technical field at the University of Florida. Technical Proficiency: Foundational knowledge in at least one major programming language (Python preferred for AI/Data tracks). Problem Solving: Strong analytical skills and a "Go Getter" attitude toward tackling complex technical challenges. Communication: Ability to clearly communicate technical concepts to both technical and non-technical team members. Preferred Experience Familiarity with containerization tools like Docker or Kubernetes. Knowledge of SQL and NoSQL databases. Exposure to AI frameworks such as PyTorch, TensorFlow, or LangChain. Previous project work involving cloud-native architecture. Cybersecurity Academy Internship: Are you ready to go beyond the textbook ? The Dark Wolf Cyber Academy (DWCA) internship is an immersive program designed to turn aspiring students into cybersecurity professionals. Unlike standard internships, we challenge you to navigate the complexities of cybersecurity through three critical lenses: Risk Management, Penetration Testing, and Cyber Engineering. This internship is built for people who want to grow fast. The DWCA Internship is designed to be cyber intensive where you won't just talk about security—you'll build it. This program is structured into dedicated 2-3 week blocks where you work alongside professionals and are exposed to real-world tools and frameworks. From breaking into systems to building resilient cloud architectures, you will gain hands-on experience that bridges the gap between theory and implementation. This internship is designed to help you figure out your path—and give you experience to back it up. Professional Sprints: • Pentesting & Offensive Security: Adopt an adversarial perspective to identify and exploit critical vulnerabilities., • Cyber Engineering: Move beyond policy to practical application by learning to architect and secure cloud environments., • Risk Management & Compliance: Familiarize yourself with the components of authorization packages through hands-on development activities., • AI Education & Emerging Tech: Explore the cutting edge of security by analyzing the impact of emerging technologies on modern cyber engineering.Why DWCA?, • Real-World Impact: Work on a simulation that mirrors industry challenges, • Mentorship: Learn directly from professionals who serve as your dedicated day-to-day coaches, • Career Launchpad: Gain the practical, employable skills that prepare you to stand out in a competitive market Desired Majors • Cybersecurity, • Information Security, • Computer Science, • Information Technology, • Information Systems Desired Skillsets • Willingness to learn and apply knowledge, • Comfortable communicating and collaborating with teammates and leadership, • Strong problem-solving and analytical skills with attention to detail, • Basic understanding of how cybersecurity protects systems and data (threats, risks, and why security matters)Google Cloud Delivery Internship: Help us build and extend our Secure Cloud Landing Zone (SCLZ) codebase which automates the entire process of fielding an authorized cloud solution from cloud org -> app. Our SCLZ allows DoD & National Security customers to scale their missions securely and efficiently using our IL5 and FedRAMP High P-ATO'd landing zone architecture which provides IAM Best Practices, Tenant Isolation, Shared Services, and monitoring through Infrastructure-as-Code (IAC). In this internship you will work across the core SCLZ codebase and build cloud-native solutions running on top of the SCLZ within Google Cloud in support of Defense and National Security mission use cases. Skillsets: Computer Science, Computer Engineering Majors • Application Development, • Cloud Infrastructure Engineering, • Developing Zero Trust Cloud Native Apps/Solutions on Google CloudCybersecurity, • Cloud GRC, • Cloud Native Policy as Code, • SecOps We are proud to be an EEO/AA employer Minorities/Women/Veterans/Disabled and other protected categories. In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.

Job DescriptionAI Engineer 1 Job ID#:26-1116 Clearance: Top Secret with SCI eligibility Location: DC Metro Who We Are: Since our inception back in 2006, Navitas has grown to be an industry leader in the digital transformation space, and we’ve served as trusted advisors supporting our client base within the commercial, federal, and state and local markets. What We Do: At our very core, we’re a group of problem solvers providing our award-winning technology solutions to drive digital acceleration for our customers! With proven solutions, award-winning technologies, and a team of expert problem solvers, Navitas has consistently empowered customers to use technology as a competitive advantage and deliver cutting-edge transformative solutions. What You’ll Do: The AI Engineer 1 supports the design, development, and governance of Artificial Intelligence (AI) and Machine Learning (ML) architectures supporting enterprise modernization initiatives. This role contributes to AI architecture development, model governance, data pipeline engineering, and agentic AI capabilities while ensuring alignment with enterprise architecture standards and governance requirements. Responsibilities will include but are not limited to: • Support the design and implementation of AI/ML architectures and cloud-based data pipelines., • Develop AI model governance frameworks, monitoring processes, and lifecycle management capabilities., • Design and implement agentic AI architectures, including multi-agent orchestration frameworks and autonomous workflow solutions., • Develop retrieval-augmented generation (RAG) architectures and vector database integrations., • Support explainability, bias detection, model performance monitoring, and drift management activities., • Collaborate with enterprise architects and engineering teams to integrate AI technologies into enterprise platforms., • Support architecture governance reviews and technical assessments., • Document AI architecture designs, standards, and implementation guidance.What You’ll Need:, • Active Top Secret (TS) security clearance with SCI eligibility., • Bachelor’s degree in Computer Science, Engineering, Data Science, or related field, Master preferred, • 3+ years of experience supporting AI/ML engineering or solution development., • Experience with cloud platforms such as AWS, Azure, or Google Cloud., • Experience with Python, machine learning frameworks, and API development., • Understanding of AI governance, model lifecycle management, and data architecture concepts., • Must be DOW 8140 certified, • Ability to obtain and maintain required Top Secret government security clearance.Set Yourself Apart With:, • Master’s degree in Computer Science, Engineering, Information Technology, or related discipline., • Experience supporting DoD or Intelligence Community environments., • AWS or Azure AI/ML specialty certification, • Experience with large language models (LLMs), RAG, and vector databases., • Knowledge of MLOps tools and AI observability platforms., • Familiarity with NIST AI Risk Management Framework and DoD AI guidance.Salary Range: $120k - $135k The salary range listed reflects our standard market pay structure. Final compensation will be determined based on multiple factors, including, but not limited to, the candidate’s unique qualifications, skills required for the position, professional experience, education, and business needs, at the time of hire. Equal Employer/Veterans/Disabled Navitas Business Consulting is an affirmative action and equal opportunity employer. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact Navitas Human Resources. Navitas is an equal opportunity employer. We provide employment and opportunities for advancement, compensation, training, and growth according to individual merit, without regard to race, color, religion, sex (including pregnancy), national origin, sexual orientation, gender identity or expression, marital status, age, genetic information, disability, veteran-status veteran or military status, or any other characteristic protected under applicable Federal, state, or local law. Our goal is for each staff member to have the opportunity to grow to the limits of their abilities and to achieve personal and organizational objectives. We will support positive programs for equal treatment of all staff and full utilization of all qualified employees at all levels within Navitas. Powered by JazzHR lFBeRMO6EV

Job Description What You'll be Owning • Implementing and maintaining RAG pipelines, including document processing, embedding generation, retrieval configuration, and prompt assembly, • Integrating LLMs into applications using available APIs and frameworks, • Developing and maintaining REST API interactions to support data retrieval and system integration, • Deploying and maintaining self-hosted LLMs, • Red teaming of LLM alignment What You Must Have • Active TS/SCI with ability to obtain a Polygraph Clearance, • Minimum 8 years of experience with a Bachelor's degree; or 7 years of experience with a Masters degree; or 6 years of experience with a Doctorate, • Demonstrated ability to conduct independent technical research, evaluate emerging AI/ML approaches, and apply advanced analytical problem-solving comparable to PhD-level research environments, • Ability to rapidly learn and apply new AI/ML methodologies, tools, and frameworks in support of evolving mission requirements, • Experience developing AI/ML applications focused on Retrieval-Augmented Generation (RAG), semantic retrieval, LLM integration, or related AI workflows, • Strong proficiency in Python and modern AI/ML libraries, frameworks, and API integrations What Would be Nice to Have • Advanced research experience in machine learning, deep learning, natural language processing, generative AI, reinforcement learning, computer vision, or related disciplines., • Experience publishing research, contributing to open-source AI/ML initiatives, or leading experimental and prototype development efforts., • Familiarity with model evaluation frameworks, fine-tuning workflows, inference optimization, and AI observability/monitoring tools., • Experience with vector databases, AWS/cloud environments, Docker, and containerized AI/ML development workflows., • Experience designing and integrating REST APIs and scalable data architectures. Pay Range: At GRVTY, we understand that compensation is influenced by many factors—such as geographic location, federal contract labor categories, wage rates, prior experience, skillsets, education, and certifications. We're proud to offer a work environment that empowers our team to achieve a strong work-life balance. GRVTY provides competitive pay, comprehensive benefits, and meaningful opportunities for professional growth. Our benefits package is designed to support the well-being of our employees and their families, and includes coverage in areas such as healthcare, financial wellness, retirement planning, family assistance, continued education, and paid time off. • The pay range for this position is: $175,000 - $225,000 Pay Range: At GRVTY, we understand that compensation is influenced by many factors—such as geographic location, federal contract labor categories, wage rates, prior experience, skillsets, education, and certifications. We're proud to offer a work environment that empowers our team to achieve a strong work-life balance. GRVTY provides competitive pay, comprehensive benefits, and meaningful opportunities for professional growth. Our benefits package is designed to support the well-being of our employees and their families, and includes coverage in areas such as healthcare, financial wellness, retirement planning, family assistance, continued education, and paid time off. Virginia Pay Range $175,000—$225,000 USD Why Choose GRVTY The toughest national security challenges demand vision and ingenuity, not just resources. We deliver mission and technical expertise to outpace our adversaries. We're purpose-built to tackle the most entrenched, systemic national security issues around the world. We partner with our customers to help them overcome challenges in every corner of technology and defense—including the ones still being explored. Our growing capabilities create complementary advantages, giving on-the-ground operations the edge they need to succeed. We muster everything we have to answer every challenge presented, every day of our lives. At GRVTY, we believe that when our employees thrive, our company thrives. That's why we offer a comprehensive and competitive benefits package designed to support your well-being, growth, and work-life balance. • Robust health plan including medical, dental, and vision, • Health Savings Account with company contribution, • Annual Paid Time Off and Paid Holidays, • Paid Parental Leave, • 401k with generous company match, • Training and Development Opportunities, • Award Programs, • Variety of Company Sponsored Events EEO Statement GRVTY, is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran and will not be discriminated against on the basis of disability. Anyone requiring reasonable accommodations should email recruiting@grvty.com or call 703-544-7930 with requested details. A member of the HR team will respond to your request within 2 business days. Know Your Rights: Workplace Discrimination is Illegal (eeoc.gov) Please review our current job openings and apply for the positions you believe may be a fit. If you are not an immediate fit, we will also keep your resume in our database for future opportunities.

Job Description Artificial Intelligence/ Machine Learning Developer: At B&A, we foster and embrace a distinct set of values that we live by and instill in all aspects of our organization: dedication, commitment, partnership, trust, and recognition. We have incorporated these values into successful delivery for our customers since 1988. B&A believes in ensuring its employees feel deeply connected to B&A, recognizing successes and hard work, and providing continuous opportunities to learn and grow. Our people are entrepreneurial thinkers that combine mindset, vision, and experience to drive value – not only to us as an organization, but to the clients we support. We promote a collaborative culture with our clients, and with each other, as one team working towards a common vision. We’d love for you to join our team! Workplace: This is a hybrid role in Ashburn VA Job Summary: B&A is looking for an Artificial Intelligence/ Machine Learning Developer to join a contract with a federal government client in support of an important mission. Responsibilities: • This is a client-facing position working on-site as per the requirements established by the DHS customer., • Develop, train, and deploy advanced AI/ML and Gen-AI models., • Design and implement innovative AI solutions to address complex business challenges using techniques such as natural language processing and large language models., • Optimize model performance, ensuring accuracy, efficiency, and scalability., • Develop and maintain user-friendly AI applications and interfaces, including chatbots, virtual assistants, and generative content tools., • Collaborate with cross-functional teams to integrate AI solutions into existing systems and workflows., • Stay up to date with the latest advancements in AI/ML and emerging technologies, such as generative AI and reinforcement learning., • Conduct research and experiments to explore new AI techniques and applications, including prompt engineering, Advanced RAGs and fine-tuning LLMs., • Ensure compliance with data privacy and security regulations, especially when dealing with sensitive data and generative AI outputs., • This role will be responsible for briefing the benefits and constraints of technology solutions to technology partners, stakeholders, team members, and senior levels of management. Education and Experience: • Bachelor's degree in computer science, Information Technology Management or Engineering is preferred. Alternative work-related experience, Military Duty, and/or specialized or higher education may be substituted., • 3+ years of experience in the Information Technology field focusing on AI/ML engineering projects, MLOps and DevSecOps and technical architecture specifically. Required Skills: • Proficiency in developing, deploying, and fine-tuning generative AI models, including large language models (LLMs)., • Strong proficiency in programming languages such as Python, R, Java and C/C++ (optional), • Experience with machine learning and generative AI frameworks., • Experience with natural language processing techniques (e.g., text classification, language generation)., • Solid understanding of any of the cloud platforms (e.g., AWS, Azure, GCP) and deployment strategies., • Solid understanding of MLOps and DevSecOps practices for deploying AI-ML models and applications, • Proficiency in any front-end development technologies (e.g., React, Angular, Vue.js, HTML, CSS, JavaScript)., • Knowledge of database systems (e.g., SQL, NoSQL, Vector Database, Graph Database)and data warehousing concepts., • An understanding and competency surrounding data storage, accesses, and loading., • Databases: PostgreSQL, NoSQL, Vector Databases, Graph Databases etc., • ETL/ELT Concepts, • Data warehouse concepts, • SQL, • Competency in data exploration, analytics, and feature engineering. (Python Specific), • Pandas / NumPy / Polars / PySpark, • Plotly / Matplotlib (some form of data visualization), • Data encoding / normalizing / regularizing / etc., • Understanding of Deep learning concepts and architectures like CNNs, RNNs, LSTM, and GANs and ability to apply to real world data sets and problems., • Proficiency in ML Modeling - Scikit-Learn, Tensorflow, Keras, Pytorch., • Proficiency in NLP Tools SpaCy, ThinC, Gensim., • Knowledge of Gen-AI Tools Hugging Face models, OpenAI models, Grok., • General competency in various ML disciplines like Classification, Forecasting, Transformers, Generative, Anomaly Detection and Deep Learning., • Enthusiastic, proactive, positive attitude with great listening skills, high integrity, and the ability to work effectively in a team environment., • Adaptability to changing priorities and a willingness to learn and grow are essential., • Excellent organizational skills, and ability to effectively manage concurrent projects., • Comprehensive problem-solving skills with exceptional attention to detail., • Ability to learn, evolve, think creatively and proactively., • Able to work under pressure (at times) and to be extremely flexible with changing priorities, • Ability to work independently and in a team setting, take ownership of and complete relatively complex tasks, effectively using available resources, as needed, with minimal guidance. Security Clearance: • Active TS or CBP BI Physical & Work Environment Requirements • Employees must be able to perform the essential functions of this position, with or without accommodation., • Ability to remain stationary for extended periods while working at a computer., • Frequently operate standard office equipment, including computers and telephones., • Ability to communicate effectively in person, by telephone, video conference, and email., • Occasionally move about the office and lift up to 20 pounds., • Ability to work the assigned schedule with regular and reliable attendance., • Ability to travel up to 10% as required. Salary Range: The base salary is $150,000 for this position in Ashburn VA. More About B&A: B&A delivers secure, innovative, and mission-critical IT solutions to support the United States Government across all three branches—Executive, Legislative, and Judicial—focused on National Security, Defense, and Intelligence. Our team of cleared professionals specializes in Agile DevSecOps, Cloud Migration and Modernization, Data Science and Analytics, Human Capital Management, Operations and Enablement, Application Transformation, All-Source Intelligence, Geospatial Production, Engineering and Integrated Services, and Cybersecurity. Notable Clients B&A has grown to be a company that is trusted by our clients for exceptional service, innovative solutions, and inspired employees. Our service extends through federal, state, and local Government, the private sector, and higher education. Some of our notable clients include Department of Homeland Security, U.S. Customs and Border Protection, U.S. Senate, U.S. Courts, U.S. Census Bureau, U.S. Navy, and more. Benefits and Programs B&A is proud to offer three robust individual and family medical plans to full time employees, including a Health Savings Account (HSA) option as well as two tiers of dental coverage, vision, life & AD&D, disability, accident, hospital indemnity, and critical illness insurance. In addition to these benefits, B&A employees enjoy paid time off,B&A sponsored trainings and certifications, pet insurance benefits, commuter transit benefits and a free subscription to a virtual exercise platform (NEOU). B&A’s 401(k) plan is available to all employees and includes a company matching contribution.B&A has launched several programs to focus on employee engagement, wellness, and assistance. These include: • The B&A Cares program: 30/60/90-day wellness check ins, personal development, financial management, and stress management seminars, and more, • A formal mentorship program, • Job shadowing and cross training opportunities, • Brand Ambassador program, • Employee Assistance Program (EAP) - Access to various support resources to include counseling, legal guidance, financial planning, and more, • Monthly teambuilding events, • B&A Annual Wellness Challenges: #StepWithB&A, #WalkDuringLunchWithB&A, #VolunteeringWithB&A, #ExerciseDuringLunchWithB&A, and more At B&A, we place significant importance on improving the communities and lives of citizens across the nation through our involvement, technology expertise, and employees. B&A puts an emphasis on charitable efforts in the Northern Virginia area, including Capital Area Food Bank pantry drives, book donations, Hope for Henry Foundation events, and many more. In recognition of all these efforts, B&A has been named a Companies as Responsive Employers (CARE) award recipient by Northern Virginia Family Services and nominated by the Northern Virginia Chamber of Commerce for Outstanding Corporate Citizenship Award. EEOB&A provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, disability, genetic information, marital status, amnesty, or status as a covered veteran in accordance with applicable federal, state and local laws. B&A complies with applicable state and local laws governing non-discrimination in employment in every location in which the company has facilities. This policy covers conduct occurring at B&A’s offices, and other workplaces (including client sites) and all other locations where B&A is providing services, and to all work-related activities. EEO is the Law E-Verify B&A participates in e-Verify. We provide the Social Security Administration (SSA) and, if necessary, the Department of Homeland Security (DHS) with information from each new employee’s I-9 Form to confirm work authorization. American with Disabilities Act (ADA) B&A is committed to providing reasonable accommodations to qualified individuals with disabilities in accordance with the Americans Disabilities Act and applicable law. If you need an accommodation to participate in the application or interview process, please contact HR@bna-inc.com Drug Free Workplace: B&A maintains a drug free workplace. Where applicable to the positions and permitted by law, employment is contingent upon successful completion of pre-employment drug screening conducted in accordance with Company policy and applicable federal; state and local requirements.

Job Description About Niyam IT (Niyam) Niyam was founded in 2007 by a group of consultants who shared a unique vision: a technology company steeped in orderly process yet driven by passion and innovation. For nearly two decades, we have served the U.S. Federal government delivering mission-critical IT solutions across Emergency Preparedness and Response, Civilian Agency Services, and Law Enforcement and Public Safety. Niyam is CMMI DEV Level 3 accredited and ISO certified (ISO 9001:2015, ISO/IEC 20000-1, ISO/IEC 27001), and holds an active CMMC Level 2 certification. We are proud to be recognized as a Best Places to Work by The Washington Post (2025) and USA Today (2026). What We Offer: • Flexible Work Hours: Life doesn’t always fit into a 9-to-5 schedule. We offer flexibility to help you manage your work-life balance effectively., • Remote Work: Niyam understands the value of flexibility. We offer remote work., • Career Growth: Niyam is not just a job; it’s a career journey. We provide a supportive environment for your professional development and offer fully paid opportunities for training and advancement within the company., • Great People: Our people are the blueprint of who Niyam is to the industry and community., • Great Environment: Niyam fosters a great environment where innovation, collaboration, and personal growth thrive., • Diversity & Inclusion: We believe in the strength of diverse perspectives. Your unique ideas are welcomed and celebrated every day at Niyam. Join us in creating a workplace where innovation, diversity, and well-being thrive. Your journey at Niyam awaits. Apply today! Niyam IT is seeking a Principal Technical Architect to join our corporate engineering team. This is not a single-contract role. You will provide technical leadership and architectural direction across Niyam's federal programs, with your initial and primary assignment supporting one of our federal clients. As Niyam's portfolio grows, you will be positioned to shape technical strategy, mentor engineering talent, and contribute to solutions across multiple programs and clients, not just the contract you start on. This role sits at the intersection of full stack engineering and applied AI. You will guide the integration of AI and machine learning capabilities into mobile and web applications, including virtual assistants and chatbots, AI-powered search and recommendation features, AI-powered accessibility, and AI-assisted developer tooling for test generation, debugging, and code refactoring. You will lead delivery of features from design through unit testing, integration testing, and production deployment via a cloud CI/CD DevSecOps pipeline, while also serving as a technical mentor and architectural voice within Niyam's broader engineering organization. This is a hybrid position, and will require onsite to the client location in Northern VA up to 3-4 days/week. Roles and Responsibilities • Lead the end-to-end architecture, design, and delivery of scalable, secure, and high-performing software solutions aligned with business and mission objectives., • Define and uphold architecture standards, design patterns, engineering best practices, and technical governance across development teams., • Design and implement modern web, mobile, cloud, API, and AI-enabled solutions, including system integrations and shared services., • Provide hands-on technical leadership throughout the software development lifecycle, including solution design, code reviews, mentoring, and resolving complex technical challenges., • Drive the adoption of AI and machine learning capabilities, modern development tools, DevSecOps, CI/CD, automation, and infrastructure-as-code practices., • Collaborate with Product Owners, Scrum Masters, developers, architects, security, platform, and operations teams to deliver high-quality solutions using Agile methodologies., • Ensure solutions meet security, scalability, reliability, performance, accessibility, and operational readiness requirements while proactively managing technical debt and architectural risk., • Create and maintain technical documentation, architecture decisions, and solution roadmaps while clearly communicating technical direction, risks, and trade-offs to both technical and non-technical stakeholders., • Champion continuous improvement through innovation, proof-of-concepts, emerging technologies, and coaching team members on architecture, design, and software engineering best practices. Required Qualifications • Must be a U.S. citizen with ability to obtain and maintain a Top Secret (TS) Clearance., • Bachelor's degree in Computer Science, Software Engineering or a related field (equivalent experience considered in lieu of degree)., • Must be available to work onsite in Northern VA., • 10+ years of professional full stack software development experience, including recent, hands-on work across frontend, backend, and API layers., • Demonstrated experience with two or more of the following: Flutter, Angular (2+), Spring Boot, Java, Python (Django), JavaScript/TypeScript, Dart, native iOS (Swift), or native Android., • Experience integrating AI/ML capabilities into production applications (for example, chatbots or virtual assistants, recommendation or search features, computer vision or NLP-based accessibility tooling)., • Working knowledge of relational databases such as PostgreSQL or Oracle SQL, and RESTful and/or SOAP API integration in a multi-system environment., • Experience with Agile/Scrum software delivery, CI/CD pipelines, containerized deployment (Kubernetes), and automated testing frameworks (for example, Selenium)., • Familiarity with federal software delivery standards, including Section 508 accessibility, DevSecOps practices, and IT security fundamentals (encryption, PII handling, vulnerability remediation). Preferred Skills • One or more current AI/ML certifications, such as AWS Certified Machine Learning, Microsoft Certified: Azure AI Engineer Associate, Google Cloud Professional Machine Learning Engineer, or a recognized generative AI/LLM engineering certification., • BS Degree in GIS or Geography., • Prior experience supporting federal agencies., • Experience with chatbot or conversational AI frameworks (Python backend, React frontend, Angular-based training dashboard)., • SAFe Practitioner, Certified Scrum Developer, or equivalent Agile certification., • Experience with Firebase, Gradle, or mobile app store deployment pipelines (Apple Enterprise/Developer, Google Play). Why Join Niyam • Award-Winning Culture: Proudly recognized by The Washington Post as a Top Workplace for two consecutive years and named to the Inc. 5000 list of America’s Fastest-Growing Private Companies for four consecutive years, reflecting our commitment to employee engagement, growth, and excellence., • Meaningful Mission Impact: Join an SBA-certified HUBZone small business trusted by federal agencies to deliver innovative solutions that support critical national missions., • Drive Innovation: Play a key role in shaping the future of Niyam’s proprietary technology accelerators, including GeoCube®, SPHERE®, and RisQ®, which are used to solve complex challenges across the federal government., • Accelerate Your Career: Benefit from a transparent career framework designed to support continuous learning, professional development, and advancement opportunities, including progression to Distinguished Engineer and other technical leadership roles., • Collaborative, People-First Environment: Work alongside talented professionals who are passionate about innovation, teamwork, and delivering exceptional results while supporting one another's success. Join Niyam and help us win the work that matters. Application Deadline: This will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected. Job posting may come down early due to volume of applicants. Niyam IT, Inc. is an Equal Opportunity (“EEO”) Employer. All qualified applicants will receive consideration without regard to race, color, creed, religion, sex, sexual orientation, gender identity, pregnancy, marital status, partnership status, age, citizenship status, veteran or military status, medical condition, genetic information, national origin, disability, unemployment status or any other characteristic prohibited by federal, state and/or local laws.

Job Description What Impact You'll Have Developers for this position will be active in all phases of software development: design, implementation, testing, deployment, and support. In this position, you will work within small teams to develop and deploy mission-critical systems, reverse-engineer network application protocols, and develop tools for complex data and network analysis. What You'll be Owning • Applications developed will vary from stand-alone scripts to complex, multi-threaded client / server architectures., • Successful candidates will be strong engineers who can prioritize well, communicate clearly, and have a consistent track record of delivery., • The development team requires creative engineering balanced with high quality and customer focus. You will have the ability to work in an entrepreneur environment and be able to contribute to a high-energy team. What You Must Have • Active TS/SCI with the ability to obtain a poly, • A Bachelor's degree or foreign equivalent in Computer Science or a related field., • Experience writing and debugging multi-threaded applications., • Strong understanding of the TCP/IP stack and network protocols, especially as concerns communication of applications on the Internet. What Would be Nice to Have • Familiarity with running/operating/debugging in a Linux environment. OS Internals(Windows/Linux/MacOS/Android/IOS). Kernel/User space boundaries and interactions., • Various CPU architectures, with focus on x86/64 and ARM. Linkers and loaders, differing compiler technologies., • Memory management concepts and application through CPU architectures., • Expert in C/C++ and Assembly., • Can tackle any other language to suit. Process privilege models., • OS design weaknesses., • Binary reverse engineering/IDA Pro/radare or similar framework experience., • Vulnerability research methods for various architectures and systems., • Familiarity with machine/statistical learning concepts a plus Embedded development experience a plus Experience exploiting newly deployed technologies a plus. Pay Range: At GRVTY, we understand that compensation is influenced by many factors—such as geographic location, federal contract labor categories, wage rates, prior experience, skillsets, education, and certifications. We're proud to offer a work environment that empowers our team to achieve a strong work-life balance. GRVTY provides competitive pay, comprehensive benefits, and meaningful opportunities for professional growth. Our benefits package is designed to support the well-being of our employees and their families, and includes coverage in areas such as healthcare, financial wellness, retirement planning, family assistance, continued education, and paid time off. • The pay range for this position is: $150,000 - $225,000 Pay Range: At GRVTY, we understand that compensation is influenced by many factors—such as geographic location, federal contract labor categories, wage rates, prior experience, skillsets, education, and certifications. We're proud to offer a work environment that empowers our team to achieve a strong work-life balance. GRVTY provides competitive pay, comprehensive benefits, and meaningful opportunities for professional growth. Our benefits package is designed to support the well-being of our employees and their families, and includes coverage in areas such as healthcare, financial wellness, retirement planning, family assistance, continued education, and paid time off. Virginia Pay Range $150,000—$225,000 USD Why Choose GRVTY The toughest national security challenges demand vision and ingenuity, not just resources. We deliver mission and technical expertise to outpace our adversaries. We're purpose-built to tackle the most entrenched, systemic national security issues around the world. We partner with our customers to help them overcome challenges in every corner of technology and defense—including the ones still being explored. Our growing capabilities create complementary advantages, giving on-the-ground operations the edge they need to succeed. We muster everything we have to answer every challenge presented, every day of our lives. At GRVTY, we believe that when our employees thrive, our company thrives. That's why we offer a comprehensive and competitive benefits package designed to support your well-being, growth, and work-life balance. • Robust health plan including medical, dental, and vision, • Health Savings Account with company contribution, • Annual Paid Time Off and Paid Holidays, • Paid Parental Leave, • 401k with generous company match, • Training and Development Opportunities, • Award Programs, • Variety of Company Sponsored Events EEO Statement GRVTY, is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran and will not be discriminated against on the basis of disability. Anyone requiring reasonable accommodations should email recruiting@grvty.com or call 703-544-7930 with requested details. A member of the HR team will respond to your request within 2 business days. Know Your Rights: Workplace Discrimination is Illegal (eeoc.gov) Please review our current job openings and apply for the positions you believe may be a fit. If you are not an immediate fit, we will also keep your resume in our database for future opportunities.

Job Description Junior AI/ML Engineer Location: Herndon, VA (Hybrid Work) Preferred: US Citizenship Node.Digital is an innovative solutions development company that combines agile development services with next-generation technologies in Cloud, Mobile, and AI/Machine Learning. We deliver state-of-the-art enterprise solutions to both government and commercial clients. We are looking for talented people to join our efforts to enable digitalization of organizations with AI Automation and Machine Learning. Key Responsibilities: -Support data preprocessing and feature engineering pipelines under senior engineer direction: clean, normalize, and validate HRSA fraud-related datasets; handle class imbalance preparation (SMOTE, undersampling) and train/validation/test split management. -Assist in the development, training, and evaluation of supervised fraud classification models; compute and document standard evaluation metrics (accuracy, precision, recall, F1 score, AUC-ROC, confusion matrices) for government review in EPLC-required model evaluation reports. -Maintain and monitor ML experiment tracking using MLflow or equivalent tooling approved for the IRMS environment; log hyperparameter configurations, training runs, and evaluation results with full reproducibility documentation. -Support model drift detection and retraining pipelines: run scheduled evaluation jobs, flag performance degradation against established baselines, and escalate findings to the AI/ML Lead Engineer and Fraud AI/ML SME. -Assist the NLP/NER pipeline team (Rohit) with data transformation tasks: format-convert NER pipeline outputs into feature-compatible schemas for downstream ML models; validate entity extraction quality against labeled reference sets. -Develop and maintain Jupyter notebook-based model exploration and reporting artifacts for use in EPLC deliverables, sprint reviews, and government demonstrations. -Support UiPath Maestro agent integration testing: prepare model inference payloads, validate agent input/output schemas, and assist with integration testing between ML model inference APIs and the persona-based agent layer. -Implement and maintain data pipeline scripts (Python/Pandas/NumPy) for batch data ingestion, feature store updates, and model scoring batch runs within the IRMS security boundary. -Follow and enforce IRMS boundary data handling procedures: ensure no PII/PHI is processed outside approved environments; maintain developer/test environment segregation per HHS security policy. -Produce supporting artifacts for EPLC deliverables: training data specifications, model evaluation appendices, data dictionary updates, and sprint retrospective documentation as directed by the PM and AI/ML Lead. -Participate in code reviews; adhere to OWASP secure coding standards, NIST SP 800-160 engineering principles, and Node’s internal CI/CD quality gates. Requirements Required Skills: Bachelor’s degree in Computer Science, Data Science, Mathematics, Statistics, or a closely related field; recent graduates with strong applied ML coursework or project portfolios will be considered. -1–3 years of hands-on experience (including internships, graduate research, or project work) in machine learning, data science, or data engineering with Python. -Proficiency in Python ML stack: scikit-learn, Pandas, NumPy; familiarity with at least one deep learning framework (TensorFlow or PyTorch) for model evaluation and inference tasks. -Demonstrated experience with standard ML evaluation workflows: train/validation/test split design, cross-validation, metric computation, and results documentation. -Experience with Jupyter notebooks for data exploration, model evaluation, and technical reporting. -Familiarity with Git-based version control and CI/CD principles; ability to work within a structured sprint cadence with documented deliverable commitments. -Demonstrated ability to handle sensitive data responsibly; understanding of data governance, access control, and the importance of environment segregation in a regulated or government setting. -Strong written communication skills: ability to produce clear, organized technical documentation suitable for government review. Benefits • Medical, • Dental, • Vision, • Basic Life, • Health Saving Account, • 401K Matching, • Three weeks of PTO/Sick, • 11 Paid Holidays, • Pre-Approved Online Training

Job DescriptionAI Engineer 3 Job ID#:26-1136 Clearance: Top Secret with SCI eligibility Location: DC Metro Who We Are: Since our inception back in 2006, Navitas has grown to be an industry leader in the digital transformation space, and we’ve served as trusted advisors supporting our client base within the commercial, federal, and state and local markets. What We Do: At our very core, we’re a group of problem solvers providing our award-winning technology solutions to drive digital acceleration for our customers! With proven solutions, award-winning technologies, and a team of expert problem solvers, Navitas has consistently empowered customers to use technology as a competitive advantage and deliver cutting-edge transformative solutions. What You’ll Do: Navitas is seeking an experienced AI Engineer to support enterprise AI/ML architecture initiatives, governance frameworks, and agentic AI capabilities across federal modernization programs. The AI Engineer will contribute to the design, implementation, and governance of AI-enabled solutions, supporting enterprise architecture baselines, solution architecture development, cloud-based AI platforms, and compliance-driven AI deployment strategies. This role will help establish scalable and secure AI ecosystems while ensuring alignment with agency architecture standards, governance requirements, and emerging federal AI policies. Responsibilities will include but are not limited to: • Support AI/ML architecture design and engineering activities across enterprise architecture and modernization initiatives., • Assist in developing and maintaining enterprise AI architecture baselines, target-state architectures, and transition roadmaps., • Contribute to solution architecture efforts for AI-enabled systems, integrating cloud-native services and advanced analytics platforms., • Support the development and maintenance of AI model governance frameworks, including model lifecycle management, risk assessments, and compliance monitoring., • Assist in designing scalable data pipeline architectures to support AI/ML training, inference, monitoring, and continuous improvement., • Support development of agentic AI systems, including autonomous workflow orchestration, multi-agent architectures, and human-in-the-loop governance mechanisms., • Assist in establishing prompt engineering standards, prompt governance processes, and evaluation methodologies for generative AI solutions., • Contribute to AI model fine-tuning pipeline architectures and optimization strategies leveraging cloud-based AI/ML services., • Produce AI governance artifacts, including model risk scorecards, architecture decision records, agentic system boundary definitions, and deployment documentation., • Support automated compliance reporting, AI inventory management, and governance dashboards for agency AI initiatives., • Assist with architecture governance reviews and ensure AI solutions align with enterprise architecture standards, cybersecurity requirements, and responsible AI principles., • Collaborate with architects, data engineers, cybersecurity teams, and business stakeholders to support enterprise AI adoption and operationalization.What You’ll Need:, • Active Top Secret (TS) security clearance with SCI eligibility., • Bachelor’s degree in Computer Science, Engineering, Data Science, or related field, Master preferred, • 5+ years of experience supporting AI/ML engineering, data engineering, cloud architecture, software engineering, or related technical disciplines., • Experience supporting AI/ML solution development within cloud environments., • Experience working with machine learning frameworks, model lifecycle management, and data pipeline architectures., • Familiarity with enterprise architecture principles, solution architecture methodologies, and system integration practices., • Experience supporting AI governance, responsible AI practices, or compliance-driven technology implementations is preferred., • Must be DOW 8140 certified, • Ability to obtain and maintain required Top Secret government security clearance.Set Yourself Apart With:, • Master’s degree in Computer Science, Engineering, Information Technology, or related discipline., • AI/ML platforms and services including Azure AI, Azure Machine Learning, Amazon SageMaker, OpenAI services, or comparable platforms., • Generative AI and large language model (LLM) technologies., • Agentic AI architectures, retrieval-augmented generation (RAG), model evaluation techniques, and prompt engineering., • Python, data engineering frameworks, API integration, and automation tools., • Cloud-native architecture and deployment patterns across AWS and Azure environments., • Enterprise architecture frameworks and governance methodologies., • AI security, model monitoring, and compliance reporting capabilities., • AWS Certified Machine Learning Specialty, • AWS Certified AI Practitioner, • Microsoft Azure AI Engineer Associate, • Microsoft Azure Data Scientist Associate, • Other industry-recognized AI/ML or cloud architecture certificationsSalary Range: $120k - $155k The salary range listed reflects our standard market pay structure. Final compensation will be determined based on multiple factors, including, but not limited to, the candidate’s unique qualifications, skills required for the position, professional experience, education, and business needs, at the time of hire. Equal Employer/Veterans/Disabled Navitas Business Consulting is an affirmative action and equal opportunity employer. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact Navitas Human Resources. Navitas is an equal opportunity employer. We provide employment and opportunities for advancement, compensation, training, and growth according to individual merit, without regard to race, color, religion, sex (including pregnancy), national origin, sexual orientation, gender identity or expression, marital status, age, genetic information, disability, veteran-status veteran or military status, or any other characteristic protected under applicable Federal, state, or local law. Our goal is for each staff member to have the opportunity to grow to the limits of their abilities and to achieve personal and organizational objectives. We will support positive programs for equal treatment of all staff and full utilization of all qualified employees at all levels within Navitas. Powered by JazzHR 0i8tOcIDhi

Job Description Unissant delivers innovative capabilities to the agencies that keep our nation healthy and safe. We apply our domain expertise, data acumen, and technology know-how to achieve breakthrough results for our clients. Working collaboratively, we advance missions and careers through a focus on honesty, integrity, and dependability. We continuously look for talent excited to join that effort. To learn more about our exciting organization, please visit us at www.unissant.com. We are seeking a AI Data Scientist to join our team and support our federal customer. This role serves as a key Data Scientist on our work for national digital outreach programs for a large federal government agency. The ideal candidate has a combination of technical, operational, and interpersonal skills, with demonstrated expertise in collaborating with cross-functional teams to collect and interpret complex datasets. Candidates must have a desire to be part of a data-driven, customer-focused, fast-paced team that loves the mission of improving the citizen's experience and providing excellent service to government customers. Essential Duties and Responsibilities: Advanced Analytics Solutions: • Design and implement machine learning models, Gen-AI (LLM) and NLP models, and statistical methods to solve complex business challenges., • Build scalable solutions for predictive modeling, optimization, and decision support., • Analyze large and complex data sets to uncover trends, generate actionable insights, and support data-driven strategies., • Communicate findings effectively to both technical and non-technical audiences., • Collaborate with cross-functional teams (internally, with partners and with customers) to collect and interpret data., • Explore and apply cutting-edge AI/ML techniques to enhance analytical capabilities and deliver measurable impact. Data Visualization: • Design and produce compelling data visualizations and interactive dashboards., • Transform complex findings into intuitive visual reports and dashboards to facilitate understanding for non-technical audiences., • Stay updated with the latest trends in data visualization and integrate innovative techniques into the workflow. Collaboration: • Work closely with the distributed teams and stakeholders to ensure the data infrastructure decisions factor the interests and data goals of the company and its partners., • Advocate for data science and analytics principles/best-practices in design/requirements discussions with customers, • Engage with stakeholders to understand their needs and tailor visualizations accordingly. Work Experience and Job Skills: • Minimum 5+ years of experience in Data Science., • Working knowledge and understanding of supervised and unsupervised learning algorithms such as regression, classification, clustering, and dimensionality reduction., • Experience with Large and Small Language models, Vision models, Prompt and Context engineering., • Experience with advanced techniques like deep learning, reinforcement learning, and natural language processing (NLP)., • Experience with ML libraries and frameworks (e.g., TensorFlow, PyTorch, Scikit-learn, XGBoost)., • Strong foundation in statistical methods, hypothesis testing, and experimental design., • Proficiency with Data Visualization tools like Tableau, QuickSight, Power BI, QlikView, or D3.js., • Strong analytical skills with the ability to analyze complex data and produce actionable insights., • Experience with AWS data and analytics technologies including EMR, Redshift, SageMaker, Comprehend, QuickSight, Glue, and S3, • Proficiency in Python and/or R for data analysis and ML development., • Proficiency in SQL for data extraction and manipulation. Education: • Bachelor's degree in Computer Science, Mathematics, Statistics or Information Systems required. Master's degree is preferred Certificates, Licenses and Registrations: • This federal program requires the candidates to be a United States Citizen., • Must have a current CBP BI clearance or be eligible to obtain one. Communications Skills: • Excellent communication skills, both written and verbal., • Solid ability to interface, inspire and motivate at various levels of the organization., • Ability to convey technical information to non-technical individuals., • Demonstrated experience communicating effectively across internal and external organizations. Travel: • This is an on-site position in Ashburn, VA Environmental Requirements: • Mainly sedentary; in an office environment., • May be required to lift up to ten (10) pounds, • Flexible in working extended hours, • Eastern Standard Time work hours, aligned with client workday The above statements are intended to describe the general nature and level of work being performed by the individual(s) assigned to this position. They are not intended to be an exhaustive list of all duties, responsibilities, and skills required. Unissant management reserves the right to modify, add, or remove duties and to assign other duties as necessary. In addition, where applicable and available, reasonable accommodation(s) may be made to enable individuals with disabilities to perform essential functions of this position. Please note: Candidate(s) will be required to go through pre-employment screening. Unissant, Inc. is a proud Equal Opportunity Employer! (EOE; M/F/Disability/Vets) Job Posted by ApplicantPro

Job Description COMPANY SUMMARY At Impyrian, our commitment to excellence, client-centric approach, and deep industry expertise set us apart. We strive to be a trusted partner for organizations seeking to embrace digital transformation, bolster cybersecurity, streamline operations, leverage advanced audio-visual technologies, drive successful engineering and construction projects, and harness the power of AI and robotics to stay ahead in today's dynamic business landscape. Impyrian knows the most important factor in our success is the excellence of our personnel—if we take care of our people, our people take care of our clients. This philosophy helps ensure a work-life balance, competitive compensation and benefits, and opportunities for professional growth. Essential Duties and Responsibilities: Impyrian is seeking a mid-level Full Stack AI Engineer to design, develop, and deploy scalable AI-powered software applications. This role combines full-stack software engineering with practical AI/ML, LLM integration, workflow automation, and cloud-native development to deliver modern enterprise solutions that improve business operations and decision-making. • Design and develop full-stack applications using React, Angular, TypeScript, JavaScript, Python, and Node.js., • Build scalable backend services, RESTful APIs, and microservices., • Integrate large language models (LLMs), generative AI, agentic AI, and Retrieval-Augmented Generation (RAG) into software applications., • Develop AI-powered automation, document processing, and intelligent data analysis solutions., • Implement machine learning models using Python, TensorFlow, PyTorch, or comparable frameworks., • Develop data pipelines and work with relational and NoSQL databases., • Build and deploy cloud-native applications using AWS, Docker, and Kubernetes., • Implement CI/CD pipelines, automated testing, and secure coding practices., • Collaborate with cross-functional teams to develop prototypes, minimum viable products (MVPs), and production-ready applications., • Perform other duties as assigned by the supervisor. Required Qualifications Education and Work Experience: • Bachelor’s degree in Computer Science, Software Engineering, Data Science, or a related field., • At least two years of professional software development experience., • Proficiency in React or Angular and JavaScript/TypeScript., • Experience with Python, Node.js, Java, or similar backend technologies., • Experience developing RESTful APIs and integrating databases., • Familiarity with AI/ML technologies, LLMs, and generative AI applications., • Knowledge of cloud platforms, Git, and modern software development practices. Skills and Competencies: • Strong analytical and problem-solving skills., • Effective written and verbal communication skills., • Ability to collaborate with cross-functional teams and contribute in a fast-paced, startup-style environment., • Ability to take ownership of tasks and help move solutions from concept through deployment. Preferred Qualifications: • Experience with RAG, AI agents, LLM APIs, and vector databases such as Pinecone, Weaviate, or FAISS., • Knowledge of TensorFlow, PyTorch, Pandas, and NumPy., • Experience with AWS, Docker, Kubernetes, and CI/CD pipelines., • Familiarity with PostgreSQL, MongoDB, Redis, or similar databases., • Experience building AI-powered document processing, workflow automation, or predictive analytics applications., • Experience with Agile development and rapid prototyping. Corporate Values Alignment: • Passionate - Demonstrates a strong enthusiasm for the work, the company and client's mission, and the impact it has on others. Enthusiasm, dedication, team motivation, continuous learning, and ownership., • Selfless - Demonstrates a willingness to put the needs of others, the team, and the company above personal interest. Helping others, knowledge sharing, teamwork, inclusivity, and humility., • Trailblazer - Leads the way with a pioneering spirit, setting new standards, and creating paths for others to follow. Leading by example, fostering innovation, mentoring, owning new ventures, and encouraging experimentation., • Impactful - Strives to make a meaningful and measurable difference that contributes positively to the company, clients, and the community. Focus on results, performance tracking, community contributions, empowerment, and improvement., • Innovative - Striving to think creatively, improve processes, and bring new ideas to life that drive business and client success. Staying current with industry trends and activities to ensure Impyrian stays ahead of competitors and exceeds client expectations. Proactive idea generation, calculated risk-taking, collaboration, growth mindset, and tech adoption. Physical Requirements: • Ability to work at a computer for extended periods, including typing and using a mouse., • Ability to communicate and collaborate with colleagues in person and through electronic communication tools., • Ability to maintain attention to detail while designing, testing, and troubleshooting software., • Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Compensation and Benefits Disclaimer on Compensation Range The compensation range listed for this position, when provided, reflects the employer’s good-faith estimate at the time of posting and is not a guarantee of compensation. Actual offers may depend on relevant skills and experience, education and certifications, market and business needs, internal pay equity, and location. Actual salary offers may fall outside of the posted range and will depend on a variety of factors, including but not limited to: • Relevant skills and experience, • Education and certifications, • Market and business needs, • Internal pay equity, • Location and cost of living We encourage all interested applicants to apply, regardless of whether their desired compensation aligns perfectly with the posted range. Salary Range: $100,000 - $130,000 Full-time employees are eligible for the following benefits: • Medical insurance, • Dental insurance, • Vision insurance, • Company paid life and disability insurance, • 401k plan including company match, • Paid federal holidays, • Paid Time Off or Vacation/Sick time *depending upon contract, • Parental leave, • Bereavement leave, • Education/Training reimbursement, • Employee Assistance Program, • Other voluntary benefits available Disclaimer: The job description is not a comprehensive list of all activities, duties, or responsibilities that may be required. Duties, responsibilities, and activities may change based on organizational and/or client needs. Impyrian is committed to hiring and retaining a diverse workforce. We are an Equal Opportunity and Affirmative Action employer and will consider all qualified applicants for employment without regard to race, color, religion, gender, pregnancy, sex, sexual orientation, gender identity, national origin, age, genetic information, protected veteran status, disability, or any other basis protected by local, state, or federal law. Individuals able to obtain and maintain U.S. government security clearances may be required for certain positions.

Job Description Intelligent Automation/AI-ML Engineer Location: Herndon, VA (Hybrid Work) Preferred: US Citizenship Experience: 3+ yrs & 5 yrs Role Summary The Intelligent Automation / AI-ML Engineer is the architect and guardian of intelligent automation solutions that incorporate AI/ML technologies, built on open-source AI models and the Model Context Protocol (MCP). The role ensures the operational efficiency and continuous refinement of integrated AI/ML solutions. Responsibility spans the design, maintenance and optimization of intelligent applications, as well as troubleshooting and resolving issues that arise after implementation. The engineer also explores new ways to embed artificial intelligence and machine learning into automations to support continuous improvement, learning and augmented decision making, and builds repeatable intelligent solutions and bots for document processing, data cleansing and similar use cases. The role owns token management and optimization, model usage, performance, retraining and MLOps. Key ResponsibilitiesSolution Design and Development • Architect, design and build intelligent automation solutions that embed AI/ML capabilities using open-source models and MCP-based integrations., • Develop MCP servers and clients that securely connect models to enterprise tools, data sources and workflows., • Build repeatable, reusable intelligent solutions and bots for document processing (classification, extraction, summarization, validation) and data cleansing (deduplication, normalization, enrichment, anomaly detection)., • Design agentic and human-in-the-loop workflows that support augmented decision making., • Create reusable components, templates and patterns that accelerate delivery across the organization.Operations, Maintenance and Support, • Maintain and optimize deployed AI/ML solutions for reliability, accuracy and operational efficiency., • Troubleshoot and resolve post-implementation issues, including model drift, integration failures, data quality problems and performance degradation., • Monitor production solutions, define SLAs/SLOs, and perform root-cause analysis and corrective action., • Maintain documentation, runbooks and knowledge base articles for supported solutions.MLOps and Model Lifecycle Management, • Implement and manage MLOps pipelines covering versioning, CI/CD, automated testing, deployment, monitoring and rollback., • Own model retraining strategy, including drift detection, data and label management, evaluation benchmarks and scheduled or triggered retraining., • Track experiments, datasets and model artifacts using tools such as MLflow, DVC or equivalent., • Evaluate, fine-tune and select open-source models, balancing accuracy, latency, cost and licensing., • Establish model governance, including auditability, reproducibility, bias and safety checks, and responsible AI practices.Token Management, Optimization and Performance, • Implement token management and usage controls, including budgets, quotas, rate limiting, caching and cost attribution by team or use case., • Optimize prompts, context windows, retrieval strategies and model routing to reduce token consumption and cost without sacrificing quality., • Monitor and tune model usage and performance: latency, throughput, GPU/CPU utilization, quantization, batching and inference serving., • Produce dashboards and reports on usage, cost, quality and ROI.Innovation and Continuous Improvement, • Explore and prototype new options for embedding AI/ML into automations to enable continuous improvement and learning., • Evaluate emerging open-source models, frameworks, MCP capabilities and automation platforms, and recommend adoption where valuable., • Partner with business stakeholders to identify automation opportunities, define success metrics and measure outcomes.Security, Compliance and Collaboration, • Apply security best practices for data privacy, access control, secrets management and prompt-injection and data-leakage mitigation., • Ensure solutions comply with organizational policies and relevant regulations., • Collaborate with data engineers, software engineers, security teams, business analysts and process owners., • Mentor team members and share best practices. Requirements Required Qualifications • Bachelor's degree in Computer Science, Data Science, Engineering or a related field (or equivalent experience)., • Experience in AI/ML engineering, intelligent automation or software engineering, with production deployments., • Strong Python skills and experience with ML/LLM frameworks such as PyTorch, Hugging Face Transformers, LangChain/LlamaIndex or similar., • Hands-on experience with open-source LLMs, including deployment and inference serving and fine-tuning techniques., • Practical experience with the Model Context Protocol (MCP) or comparable tool-integration and agent frameworks., • Experience building document processing solutions (OCR, NLP, information extraction) and data cleansing pipelines., • Working knowledge of MLOps practices and tools (CI/CD, containerization with Docker/Kubernetes, model registries, monitoring)., • Experience with token usage tracking, cost optimization and performance tuning of LLM applications., • Familiarity with RAG architectures, vector databases and embeddings., • Strong troubleshooting, analytical and communication skills.Preferred Qualifications, • Experience with RPA or workflow platforms (e.g., UiPath, Automation Anywhere, Power Automate, n8n, Camunda)., • Cloud experience (AWS, Azure or GCP), including GPU workloads and managed ML services., • Experience with orchestration tools (Airflow, Prefect, Kubeflow) and observability tools (Prometheus, Grafana, OpenTelemetry, LLM tracing tools)., • Knowledge of model evaluation frameworks, guardrails and responsible AI., • Relevant certifications in cloud, ML or automation platforms., • Experience working in an Agile/DevOps environment. Benefits • Medical, • Dental, • Vision, • Basic Life, • Health Saving Account, • 401K Matching, • Three weeks of PTO/Sick, • 11 Paid Holidays, • Pre-Approved Online Training

Job Description About Infinitive: Infinitive is a data and AI consultancy that enables its clients to modernize, monetize and operationalize their data to create lasting and substantial value. We possess deep industry and technology expertise to drive and sustain adoption of new capabilities. We match our people and personalities to our clients' culture while bringing the right mix of talent and skills to enable high return on investment. Infinitive has been named “Best Small Firms to Work For” by Consulting Magazine 8 times most recently in 2025. Infinitive has also been named a Washington Post “Top Workplace”, Washington Business Journal “Best Places to Work”, and Virginia Business “Best Places to Work.” Job Summary: We are seeking a highly skilled Data Engineer / Architect with extensive experience in Databricks on AWS or Azure to join our dynamic team. The ideal candidate will be responsible for designing, building, and maintaining scalable data architectures, ensuring data integrity, and optimizing data flow and collection. This role requires a deep understanding of cloud-based data solutions and strong expertise in leveraging Databricks to drive data initiatives. Key Responsibilities: Design, develop, and implement data architectures and solutions on Databricks in both AWS and Azure. Collaborate with stakeholders to understand business requirements and translate them into technical specifications. Develop and maintain ETL processes to ensure efficient data flow and integration across systems. Ensure data quality, integrity, and security in all data-related activities. Optimize data storage and retrieval strategies to improve performance and cost-efficiency. Lead the implementation of data governance policies and procedures. Provide technical guidance and mentorship to data engineering teams. Stay updated with the latest industry trends and best practices in data architecture, Databricks, cloud data warehouses, AWS and Azure. Required Skills and Qualifications: • U.S. Citizenship or Green Card Required: Due to the secure nature of the project, candidates must be U.S. citizens or lawful permanent residents., • Bachelor’s or Master’s degree in Computer Science, Information Technology, or related field. Proven experience as a Data Architect, with a strong focus on Databricks. Proficiency in Databricks, including the ability to build and optimize Spark applications. Extensive experience with AWS services such as S3, Redshift, EMR, Lambda, Glue, and others. Strong knowledge of Unity Catalog and its application in managing and securing data assets. Strong knowledge of data modeling, ETL processes, and data warehousing concepts. Proficiency in SQL and experience with big data technologies (e.g., Hadoop, Spark). Familiarity with data governance and data security practices. Active Databricks Professional certification Excellent problem-solving skills and attention to detail. Strong communication and collaboration skills. Preferred Qualifications: AWS Certified Solutions Architect or similar certification. Experience with other cloud platforms (e.g., Azure, GCP). Knowledge of machine learning and data science concepts. Experience with data visualization tools (e.g., Tableau, Power BI). • Prior experience in a leadership or mentorship role. Infinitive is required by law in some jurisdictions to include a reasonable estimate of the compensation range for this role. The determination of this range includes various factors not limited to skill set, level, experience, relevant training, and licensure and certifications. Compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range for this role in the U.S. is $170,000.00- $215,000.00. Infinitive is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by applicable federal, state, or local law. Powered by JazzHR quthfX4Mkp

Job Description Overview At Firebirds, every role plays an important part in creating extraordinary guest experiences. As a Dish Machine Operator, you are a key part of our Back of House team—ensuring cleanliness, safety, and organization so the kitchen can operate at its highest level. Your work supports every plate that leaves the kitchen and every guest experience we deliver. What you can expect from us: Our team members are the most important stakeholder here at Firebirds Wood Fired Grill and such an important part of our brand. We ensure that our team members receive extensive training and development, are continuously set up for success, and feel welcomed in our Firebirds family! Never worked in a restaurant before but have a passion for learning more? It will be our pleasure to start you in a role where you can train and develop skillsets to become a hospitality expert! Responsibilities What You’ll Do • Maintain a clean, safe, and organized dish and sanitation area., • Operate the dish machine efficiently while maintaining proper water temperatures and chemical levels., • Wash, rinse, and sanitize dishes following food safety standards., • Stack and rinse dishware for optimal cleaning results., • Drain, clean, and refill dish tanks throughout the shift to maintain standards., • Restock clean wares to proper locations to support kitchen flow., • Remove trash, break down boxes, and maintain clean disposal areas., • Maintain dumpster area cleanliness and sanitation., • Complete prep tasks and support kitchen team members as needed., • Follow all opening, closing, and cleaning checklists., • Keep your station clean, organized, and ready for service at all times., • Work as part of a fast-paced, team-driven kitchen environment. What’s in it for you: • Flexible schedules! Time-off on holidays— closed on Christmas and Thanksgiving Day; early closure on Christmas Eve!, • Competitive hourly wage, • New store openings— we are growing and with growth comes opportunities for advancement!, • Extensive training and development— we focus on building your knowledge during training and it doesn't stop there--continued education is a focus to make sure our team members are experts in their positions., • Benefits for eligible team members—medical and paid time-off!, • Team member motivation— discounted meals, exhilarating contests, and thrilling prizes! Qualifications Qualifications: • Basic knowledge of kitchen safety and sanitation standards., • Strong attention to cleanliness, organization, and detail., • Ability to work efficiently in a fast-paced environment., • Team-first mindset and willingness to support wherever needed., • Ability to stand for extended periods and perform repetitive motions., • Ability to bend, reach, push, pull, and lift up to 50 lbs frequently., • Reliable transportation., • Commitment to safety procedures and consistent execution. You may also apply in person at your local Firebirds Wood Fired Grill Monday through Friday between 2 pm and 4 pm! If you’re passionate about hospitality and delivering exceptional guest experiences—whether in person or to-go—we’d love to meet you. Grow your skills and find your fire. Firebirds is an Equal Opportunity Employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status. This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor. #fbgrill

Job Description JOB TITLE: Data Scientist LOCATION: Remote DURATION: 6 month contract RATE RANGE: $60 - $100 per hour POSITION SUMMARY: Our client, a large multinational consulting and strategy firm is looking for AI focused Data Scientists to join their client facing team RESPONSIBILITIES: You will creatively use data to solve business challenges, often uncovering new and transformative opportunities along the way. Applying advanced analytics, quantitative tools, and modeling techniques, you ll interpret and offer recommendations based on insights from the data QUALIFICATIONS: • Advanced degree is a quantitative field such as computer science, engineering, physics, statistics or applied mathematics, • familiarity with statistical and data-mining techniques, • strong knowledge of programming languages, with a focus on machine learning and advanced analytics (such as R, Python, and Scala), • experience working with large data sets and relational databases, • experience in client facing roles and travel to client sites IND123

Job DescriptionDescriptionARC is looking for a software and systems engineer to support a new and evolving product. This role is primarily focused on systems engineering with additional responsibilities in back-end software development. ARC’s core product offering employs an IoT sensing device hosted in or on an individual weapon system. The IoT device’s data is aggregated to provide insights about weapon performance and other situation-dependent data streams for our customers. Our software stack includes Java-based microservices in AWS using modern orchestration and integration systems. We use many off-the-shelf technologies including Docker, Kubernetes, Kafka, PostgreSQL, redis, and many others. This position will require access to restricted information and facilities protected under U.S. laws and regulations, including the National Industrial Security Program Operating Manual (NISPOM). Please note that any offer for employment will be conditioned on any required authorization to receive access to such restricted information and facilities necessary to perform the responsibilities of the position. Citizenship Verification: This position requires verification of U.S. Citizenship to meet federal government security screening requirements required for this role. The successful candidate must be a U.S. Citizen and otherwise eligible to obtain access to classified information and facilities necessary to perform the responsibilities of the position. Role Responsibilities - How You Will Make an ImpactAs a dual-role engineer, you will be expected to support the following responsibilities: • Collaborate with product and program managers to elicit and document implied system requirements., • Capture, update, and maintain current and future system and software design descriptions., • Develop and implement IoT system architectures that enable varying data transport profiles including large data sets for machine learning., • Define end-to-end system performance specifications including critical metrics for tracking., • Incorporate non-functional constraints into system designs including bandwidth, latency, security, scalability, and reliability of the solution., • Write system integration test plans and provide guidance on execution of those test plans along with considerations for increasing levels of automation of end-to-end tests., • Write and maintain software requirements and user stories., • Write and maintain back-end software in cloud, hybrid-cloud, and on-premises environments., • Safely operate firearms platforms under supervision from trained and licensed range officers and qualified ARC personnel. Prior experience with firearms is not required., • This position may require travel less than 10% of the time in support of in-person events including system testing. Relevant Skills and Experience • Bachelor’s degree in computer science, computer engineering, electrical engineering, or similar program, • 3+ years of experience as a systems engineer, • 5+ years of experience as a software engineer, • Ability to obtain a DoD Secruity Clearance, • Experience working in a start-up environment., • Experience working for a DoD or government contractor. Bonus Points, • Model Based Systems Engineering (MBSE) a major plus, • Cloud-agnostic architectures, • Networking protocols and ICDs, • Software automation through simulation and digital twins BenefitsEquity Options 401k Employer paid employee medical, dental and vision benefits Flexible PTO 13 company paid holidays

Job Description:\n\nThe Vice President, Enterprise Technology & Innovation (VP, ET&I), reports to the President, with direct leadership of Enterprise IT & Security. This executive will lead internal transformation, current customer innovation, and pre-award technical solutioning, supported by reliable technology and cybersecurity operations.\nThe VP, ET&I will serve as the connective point among Growth, Service Delivery, Technology, Quality and Compliance, Corporate Services, and Executive Leadership. The position is an Executive Leadership Team member with direct CEO access for assigned priorities and material risks.\nThe position has three equally important, connected transformation missions:\n\n \n Internal enterprise transformation: Transform how the organization operates through data, AI, automation, analytics, process redesign, and enterprise integration.\n \n Current customer and program transformation: Apply those capabilities to active contracts to improve mission outcomes, service performance, productivity, and customer value.\n \n Growth and pre-award technical solutioning: Develop differentiated, executable technical solutions, architectures, demonstrations, and accelerators for recompetes and new business, from early BD through Capture, Proposal, and delivery handoff.\n\nReliable, secure corporate technology is the operating foundation for all three missions. Daily IT/Security execution remains with the existing leader; the VP is accountable for priorities, investment, risk treatment, and results.\nThe candidate must be a builder, operator, problem solver, and strategist who moves from problem definition through analysis, solution design, prototype, pilot, implementation, measurement, and reuse. The role requires sufficient technical depth to evaluate and shape solutions, along with the business and operational judgment to determine where technology should—and should not—be applied.\nEssential Duties and Responsibilities\nCorporate IT and Cybersecurity Leadership\n\n \n Own the performance and improvement of company-managed corporate technology and cybersecurity. Direct the existing Enterprise IT & Security leader, assigned staff, and service providers; delegate day-to-day execution while remaining accountable for outcomes.\n \n Define service ownership, support standards, escalation, staffing coverage, operational priorities, and an integrated technology roadmap. Keep access, support, and incident duties staffed during changes and transitions.\n \n Own enterprise architecture and integration, infrastructure, networks, cloud/collaboration platforms, endpoints, approved environments, capacity, and platform lifecycle. Evaluate interoperability, resilience, scalability, and total lifecycle cost.\n \n Manage approved technology budgets, investment priorities, licenses, renewals, asset inventories, vendor performance, and service agreements. Review critical providers with Contracts before selection or renewal, including cybersecurity, data handling, access, and contractual requirements.\n \n Ensure identity and access management, timely provisioning/removal, least privilege, privileged access controls, periodic access reviews, endpoint/network/cloud protection, vulnerability and patch management, secure configuration, logging, and monitoring.\n \n Implement and operate applicable technical security controls. Maintain system boundaries, control ownership, implementation evidence, system security documentation, and technical remediation plans for company-managed systems, including applicable Controlled Unclassified Information (CUI) environments.\n \n Match control requirements to actual contracts, data types, system boundaries, and applicable assessment scope. Support relevant NIST requirements and CMMC obligations through maintained implementation and evidence.\n \n Maintain tested backups, recovery procedures, and resilience objectives. Conduct incident-response exercises and recovery tests, assign corrective actions, and verify operational follow-through.\n \n Lead incident preparedness, technical containment, investigation support, and recovery. Escalate material incidents promptly and coordinate required notifications through designated contractual channels within applicable deadlines.\n \n Own corporate technical standards and technical security policies/procedures within delegated authority. Submit enterprise policy changes through established governance and provide evidence for independent Quality & Compliance review.\n \n Require corporate production changes to pass appropriate architecture, security, data-owner, change-control, and operational-readiness review, including testing, support/runbook ownership, rollback, monitoring, and lifecycle funding.\n\nEnterprise Transformation\n\n \n Lead a prioritized portfolio of initiatives designed to improve organizational scalability, productivity, operational effectiveness, and management visibility.\n \n Assess current business and operational processes across Service Delivery, Growth, Finance, HR, Recruiting, Contracts, IT, and other corporate functions.\n \n Identify manual, fragmented, repetitive, or inefficient processes that can be redesigned, automated, integrated, or eliminated.\n \n Develop target-state operating models, transformation roadmaps, implementation plans, and business cases based on measurable operational or financial value.\n \n Lead cross-functional transformation initiatives from problem definition through implementation.\n \n Establish clear objectives, owners, milestones, dependencies, risks, and measures of success.\n \n Ensure transformation efforts simplify operations rather than introduce unnecessary systems, complexity, or administrative burden.\n \n Establish repeatable approaches that can scale as the organization grows.\n \n For each approved initiative, confirm a business sponsor, process owner, baseline, acceptance criteria, funding, training needs, support owner, and adoption measures.\n\nAI, Intelligent Automation, and Emerging Technology\n\n \n Serve as the enterprise leader for the practical adoption of AI, intelligent automation, and emerging technologies.\n \n Develop and maintain a prioritized enterprise AI and automation portfolio.\n \n Identify high-value AI, GenAI, machine learning, automation, analytics, and agentic workflow opportunities.\n \n Evaluate emerging technologies against real business and customer requirements.\n \n Rapidly prototype promising use cases and move selected capabilities through idea, prototype, pilot, approved production, and measurement.\n \n Test assumptions in approved environments with authorized data, then document adoption, limitations, support, and reuse.\n \n Develop AI-enabled solutions supporting knowledge management, research and analysis, service desk operations, incident and problem management, technical support, customer experience, proposal and solution development, staffing and workforce analytics, reporting, decision support, and repetitive administrative processes.\n \n Evaluate whether the organization should build, buy, configure, partner, or avoid proposed technologies.\n \n Establish methods for measuring actual productivity, quality, cost, mission, or customer impact.\n \n Shape and demonstrate working solutions, coordinate specialists where needed, and sustain adopted capabilities.\n\nEnterprise Data and Decision Intelligence\n\n \n Establish the foundation necessary to convert business and operational data into trusted enterprise intelligence.\n \n Develop an enterprise data and intelligence roadmap.\n \n Identify critical data across Growth and Capture, Finance, Service Delivery, Contracts, HR, Recruiting, IT, Quality and Compliance, and authorized customer operations.\n \n Establish what priority data exists, where it resides, who owns it, how it is defined, how it connects to other data, and how it may be used.\n \n Record sources, interfaces, access rights, quality, lineage, retention, and lifecycle responsibilities.\n \n Work with functional owners to establish trusted metrics and authoritative sources for key management information.\n \n Reduce manual reconciliation, spreadsheet dependency, duplicate reporting, and disconnected data.\n \n Develop executive dashboards and decision-support capabilities.\n \n Improve leadership visibility into revenue, margin, staffing, utilization, vacancies, contract funding and burn, program performance, growth pipeline, recruiting, customer delivery metrics, and enterprise risk.\n \n Establish appropriate data governance, ownership, quality, accessibility, security, and lifecycle practices in coordination with responsible functional leaders.\n \n Identify data freshness, gaps, and limitations; distinguish official results from estimates and forecasts, and restrict sensitive data to authorized roles.\n\nService Delivery Innovation\n\n \n Partner closely with the VP, Service Delivery and program leadership to identify and implement improvements across customer programs.\n \n Support ITSM automation, service desk optimization, knowledge management, AI-enabled agent assistance, incident and problem analytics, SLA and performance analytics, workforce and workload forecasting, transition analytics, customer experience improvements, operational dashboards, automated reporting, process automation, predictive and trend analysis, and continuous service improvement.\n \n Agree on the mission problem, baseline, expected value, and acceptance criteria with program leadership.\n \n Implement within contract scope, funding, authorized systems, workforce obligations, and required PM/customer or prime-contractor approvals.\n \n Use controlled pilots, readiness reviews, and rollback plans to protect service performance.\n \n Coordinate implementation and acceptance through PMs and required customer authorities while preserving program reporting lines and delivery accountability.\n\nGrowth Solutioning and Competitive Differentiation\n\n \n Partner with the VP, Strategic Growth, Capture leaders, Service Delivery, technical SMEs, and executive leadership to strengthen solutions for strategic pursuits and recompetes.\n \n Translate customer mission requirements and capture strategies into differentiated, executable solutions.\n \n Lead the technical solutioning workstream for assigned opportunities throughout the pre-award lifecycle. Agree on the solution lead, technical team, deliverables, review dates, and available capacity with Growth.\n \n During Business Development, work with Growth to understand customer missions, operating challenges, emerging requirements, and capability gaps. Shape credible technical concepts, capability briefings, permitted demonstrations, partner options, and supporting evidence.\n \n During Capture, translate capture strategy and customer requirements into solution alternatives, architecture, CONOPS, transition/implementation plans, discriminators, and build/buy/partner choices.\n \n Identify technical risks, dependencies, staffing needs, security requirements, and cost assumptions; mature the approach through customer feedback and solution reviews.\n \n During Proposal, own the assigned technical solution and the accuracy, consistency, and executability of its technical content.\n \n Trace requirements to the solution, lead technical writing and reviews, support demonstrations and oral presentations when required, and validate assumptions with Delivery, Finance, Contracts, and partners before commitment.\n \n At award and delivery handoff, transfer the approved solution, requirements, assumptions, risks, staffing dependencies, commitments, and reusable assets to the designated PM and Delivery team.\n \n Support development of solution architectures, CONOPS, management approaches, transition approaches, automation strategies, AI/data strategies, technical roadmaps, operating models, and performance frameworks.\n \n Ensure proposed innovations are operationally realistic and executable after award.\n \n Develop prototypes and demonstrations where they improve customer understanding or proposal differentiation.\n \n Connect organizational capabilities across enterprise IT, ITSM, cybersecurity, Zero Trust, data and analytics, AI/ML, intelligent automation, cloud, knowledge management, and digital transformation.\n \n Build reusable proposal content, architectures, methodologies, demonstrations, accelerators, and intellectual property.\n \n Review licensing, security, staffing, implementation effort, dependencies, and support costs with Growth, Service Delivery, Finance, and Contracts.\n\nCustomer-Facing Innovation and Reusable Capabilities\n\n \n Build a repeatable method for turning operational innovation into measurable customer value and future competitive advantage.\n \n Identify innovations developed on one program that can be adapted to other company programs.\n \n Develop reusable accelerators rather than repeated one-off solutions.\n \n Build demonstrations and proof-of-concepts that Growth can use with prospective customers.\n \n Work with program leadership to identify customer mission problems the organization can proactively help solve.\n \n Document accurate, measurable results for permitted use in past performance, recompetes, proposals, customer briefings, capability demonstrations, and thought leadership.\n \n Describe the baseline, contribution, limitations, and customer acceptance; obtain required permissions before external use.\n \n Identify opportunities where internally developed capabilities could become formal company offerings or differentiators.\n \n Review contract data/IP rights, confidentiality, customer permissions, and third-party licensing before reuse or publication.\n\nEnterprise Knowledge and Intellectual Property\n\n \n Develop mechanisms to retain and reuse institutional knowledge.\n \n Improve enterprise knowledge management and identify valuable knowledge isolated within individuals, programs, files, Teams environments, or functional departments.\n \n Develop appropriate AI-assisted knowledge discovery and retrieval capabilities.\n \n Build reusable libraries for solutions, lessons learned, CONOPS, transition approaches, process models, technical architectures, automation components, dashboards, proposal content, and best practices.\n \n Protect proprietary information and customer data.\n \n Establish mechanisms to convert project experience into enterprise intellectual capital.\n \n Assign owners, versions, access rules, maintenance responsibilities, and reuse instructions.\n \n Confirm rights and permissions with Contracts/Legal before adding customer-funded artifacts or data to shared libraries or reusing them.\n \n Capture learning after each contract, transition, pursuit, and operational challenge.\n\nResponsible AI, Security, and Governance\n\n \n Ensure innovation occurs within appropriate security, privacy, contractual, quality, and compliance boundaries.\n \n Work with Quality & Compliance, Contracts, Legal, data owners, and program leadership to establish responsible AI and acce

Job Description Unissant, Inc. delivers innovative capabilities to the agencies that keep our nation healthy and safe. We apply our domain expertise, data acumen, and technology know-how to achieve breakthrough results for our clients. Working collaboratively, we advance missions and careers through a focus on honesty, integrity, and dependability. We continuously look for talent, excited to join that effort. To learn more about our exciting organization, please visit us at www.unissant.com. We are seeking an AI Solutions Engineer - Integration & Deployment to join our MissionWorks team and build AI-enabled solutions that address customer mission needs and internal operational priorities. The ideal candidate is a technically strong, hands-on engineer who can move from a problem statement to a working solution. This individual will build integrations, AI-enabled applications, automations, and operational solution components while working closely with the MissionWorks Solutions Executive, customer stakeholders, and technical delivery teams. This role is for an engineer who can help move promising prototypes into secure, maintainable operational capability. The successful candidate can evaluate technical options, identify implementation risks, contribute to solution design, and work across the application, data, cloud, security, and deployment layers necessary for a complete solution. They are comfortable building and learning in conditions where not every requirement is established at the outset. Essential Duties and Responsibilities: • Design, develop, test, and maintain AI-enabled applications, integrations, workflow automations, and solution prototypes for MissionWorks initiatives., • Use Python to develop, test, debug, optimize, and maintain AI-enabled software, services, APIs, integrations, and deployment components; apply C++ where required by the solution environment or performance needs., • Translate approved mission and business use cases into technical designs, development tasks, implementation plans, and working software., • Build integrations with enterprise applications, APIs, cloud services, data sources, knowledge repositories, and workflow tools., • Support the movement of validated proof-of-concepts into secure, scalable, and maintainable operational capabilities., • Participate in discovery sessions, design workshops, customer demonstrations, user testing, and technical reviews to ensure solutions address real operational needs., • Evaluate technical tradeoffs involving functionality, user experience, system integration, data quality, performance, security, reliability, and maintainability., • Troubleshoot application, integration, data, and AI-solution issues; identify root causes; and recommend corrective actions., • Contribute reusable code, integration patterns, technical documentation, implementation playbooks, and engineering standards for the MissionWorks portfolio., • Collaborate with solution leaders, software engineers, data engineers, cloud teams, cybersecurity personnel, program managers, and customer stakeholders., • Support solution estimation, technical planning, backlog refinement, sprint execution, release activities, and operational handoff., • Provide technical guidance and peer support to other engineers as appropriate., • Stay current on practical AI engineering, software development, cloud, integration, data, and secure deployment practices., • Perform other duties as assigned. Work Experience and Job Skills: • Two to five years of experience in software engineering, application development, AI engineering, data engineering, cloud engineering, automation, systems integration, or a related field., • Demonstrated proficiency in Python is required., • Experience with C++ is required, or the demonstrated ability to become productive in C++ quickly., • Demonstrated experience building and deploying software applications, APIs, workflow automations, integrations, or data-enabled solutions., • Experience working with APIs, web services, relational or NoSQL databases, structured and unstructured data, authentication, and system integration patterns., • Practical experience or strong exposure to generative AI, large language models, AI agents, retrieval-augmented generation, model APIs, workflow orchestration, intelligent-document processing, machine learning, or comparable AI-enabled application capabilities., • Familiarity with cloud platforms such as AWS, Microsoft Azure, or Google Cloud., • Experience with source control, testing, CI/CD, containerization, logging, debugging, and technical documentation., • Evidence of personally building and deploying production software, prototypes, integrations, automation solutions, AI agents, or technical products is strongly preferred., • Ability to evaluate an incomplete or ambiguous use case, identify key assumptions and dependencies, and propose a practical technical approach., • Understanding of secure software-development practices, data protection, access controls, and responsible AI considerations., • Strong analytical, problem-solving, and communication skills, with resourcefulness and a bias toward action., • Experience in federal, public-sector, healthcare, defense, intelligence, or another regulated environment is preferred., • Experience interacting with customers, users, product stakeholders, or multidisciplinary delivery teams is preferred. Education: • Bachelor's Degree is required. Preferred field of study in Computer Science, Software Engineering, Information Technology, Information Systems, Data Science, Artificial Intelligence, or related field of study., • Master's Degree in Computer Science, Data Science, Artificial Intelligence, Engineering, or a related field is preferred. Certificates, Licenses and Registrations: • Relevant technical certifications are preferred., • Examples may include AWS, Microsoft Azure, Google Cloud, Kubernetes, Docker, DevOps, software-development, data, machine-learning, or AI-related certifications. Communication Skills: • Excellent verbal and written communication skills, with the ability to explain technical concepts, implementation options, and delivery risks to both technical and nontechnical audiences., • Ability to participate effectively in customer working sessions, design discussions, demonstrations, and technical reviews., • Ability to write clear and concise technical content, including solution documentation, implementation guidance, technical designs, and status updates, in a highly confidential manner., • Ability to receive and provide constructive feedback in a collaborative delivery environment. Clearance Requirements: • Eligibility to obtain and maintain a security clearance is required., • An active DoD Top Secret clearance is desired. Travel: • Travel may be required based on customer, program, and solution-delivery needs. Environmental Requirements: • Mainly a routine office environment., • May be required to lift up to ten (10) pounds., • Flexible in working extended hours. The above statements are intended to describe the general nature and level of work being performed by the individual(s) assigned to this position. They are not intended to be an exhaustive list of all duties, responsibilities, and skills required. Unissant management reserves the right to modify, add, or remove duties and to assign other duties as necessary. In addition, where applicable and available, reasonable accommodation(s) may be made to enable individuals with disabilities to perform essential functions of this position. Please note: Candidate(s) will be required to go through pre-employment screening. Unissant, Inc. is a proud Equal Opportunity Employer! (EOE; M/F/Disability/Vets) Job Posted by ApplicantPro

Job Description Unissant, Inc. delivers innovative capabilities to the agencies that keep our nation healthy and safe. We apply our domain expertise, data acumen, and technology know-how to achieve breakthrough results for our clients. Working collaboratively, we advance missions and careers through a focus on honesty, integrity, and dependability. We continuously look for talent, excited to join that effort. To learn more about our exciting organization, please visit us at www.unissant.com. We are seeking a Senior AI Systems Architect to serve as a technical lead and enterprise architect for Artificial Intelligence (AI), Machine Learning (ML), Generative AI (Gen-AI), and advanced analytics initiatives supporting our federal customer. This role is responsible for designing, operationalizing, and scaling secure, mission-focused AI capabilities that enhance customer's AI/ML services, image analysis, anomaly detection, operational intelligence, and decision-support missions. Position Overview: The Senior AI Systems Architect leads the design of enterprise AI ecosystems and reusable AI services within the client's AI Enablement Center, enabling AI-as-a-Service capabilities across multiple applications and operational environments. The role combines enterprise architecture, AI engineering, cloud modernization, cybersecurity, and mission operations expertise to deliver scalable, secure, and governable AI solutions aligned with operational requirements and federal AI governance mandates. This position serves as a trusted technical advisor to leadership, program stakeholders, architects, developers, data scientists, and cybersecurity teams while driving the transition of AI capabilities from research and experimentation into production operational environments. Essential Duties and Responsibilities: Enterprise AI Architecture & Strategy • Serve as the lead architect for AI and Gen-AI initiatives supporting operational mission requirements across national security customer domains., • Design and operationalize enterprise AI architectures supporting scalable AI-as-a-Service capabilities across client applications., • Develop reusable AI frameworks, shared services, and reference architectures aligned with customer enterprise standards and governance models., • Architect multimodal AI solutions supporting text, image, video, and structured/unstructured data analysis., • Define enterprise AI integration patterns supporting cloud-native, event-driven, and microservices-based architectures. AI/ML & Gen-AI Solution Engineering • Lead design and deployment of AI/ML and Gen-AI solutions including:, • RAG architectures, • Agentic AI frameworks, • LLM orchestration, • Computer Vision, • Image analysis and object detection, • Anomaly detection, • Predictive analytics, • NLP and summarization services, • Intelligent search and semantic retrieval, • Design scalable pipelines for AI model training, inference, monitoring, retraining, and operational management., • Implement secure Gen-AI guardrails addressing:, • Hallucination mitigation, • Prompt injection prevention, • Prompt leakage controls, • Explainability and traceability, • Responsible AI governance, • Architect high-throughput AI processing frameworks capable of supporting near real-time mission operations and large-scale analytical workloads. Mission Systems Integration & Modernization • Integrate AI services into operational systems, mission workflows, and enterprise data platforms., • Architect event-driven data ecosystems leveraging Kafka/MSK, APIs, streaming pipelines, and real-time interoperability frameworks., • Support modernization of legacy systems and data platforms into scalable cloud-native AI-enabled architectures., • Design interoperable data frameworks leveraging NIEM, WCO, JSON/REST APIs, and other federal interoperability standards., • Enable AI integration across structured and unstructured mission datasets including operational intelligence, targeting data, image repositories, and external partner feeds. Cloud, MLOps & DevSecOps • Architect secure AI environments leveraging AWS and Google cloud ecosystems including:, • Amazon Bedrock, • AWS SageMaker, • Vertex AI, • Databricks, • Containerized AI platforms, • Implement Infrastructure as Code (IaC), automated provisioning, CI/CD, and MLOps pipelines supporting rapid AI deployment and lifecycle management., • Design AI operationalization pipelines with:, • Automated model deployment, • Drift monitoring, • Retraining triggers, • Model governance, • Security automation, • Collaborate with DevSecOps and cybersecurity teams to integrate AI solutions into secure enterprise delivery pipelines. Security, Governance & Compliance • Ensure all AI architectures comply with:, • DHS security policies, • NIST 800-series standards, • RMF requirements, • Zero Trust principles, • Federal AI governance guidelines, • Architect secure data access, role-based controls, encryption, audit logging, and AI activity monitoring., • Support ATO processes and system security documentation for AI-enabled solutions., • Establish governance frameworks for AI model validation, testing, explainability, and operational accountability. Innovation & Research • Collaborate with customer, cloud providers, academic institutions, and emerging technology partners to evaluate and operationalize innovative AI capabilities., • Lead technical evaluations, proof-of-concepts, and pilot initiatives for emerging AI technologies., • Research and operationalize advanced AI capabilities including:, • Agentic AI, • Multimodal AI, • Federated AI, • Synthetic data generation, • Massive parallel AI processing, • AI-enabled image intelligence, • Support the expansion of CBP's Technology Reference Model (TRM) for AI technologies and tools. Technical Leadership & Stakeholder Engagement • Provide technical leadership and mentorship to AI engineers, data scientists, architects, and development teams., • Lead architecture reviews, technical strategy sessions, and solution design workshops., • Translate operational mission requirements into scalable technical architectures and implementation roadmaps., • Develop technical white papers, executive briefings, architecture diagrams, and implementation strategies for leadership., • Support proposal development, technical volume writing, and customer demonstrations for customer's AI initiatives. Work Experience and Job Skills: Required: • 12+ years of experience in enterprise architecture, AI/ML engineering, cloud modernization, or advanced analytics solutions., • 5+ years designing and implementing AI/ML or Gen-AI solutions in enterprise or federal environments., • Strong expertise in:, • Generative AI, • LLM architectures, • RAG frameworks, • MLOps, • AI operationalization, • Computer Vision, • NLP, • Cloud-native architectures, • Experience with AWS and/or Google Cloud AI ecosystems., • Strong experience designing:, • Event-driven architectures, • API ecosystems, • Data streaming platforms, • Microservices architectures, • Enterprise integration frameworks, • Experience implementing secure AI and DevSecOps pipelines within regulated environments., • Strong understanding of federal cybersecurity and compliance frameworks including NIST RMF and Zero Trust., • Experience operationalizing AI-as-a-Service capabilities across mission applications., • Experience designing scalable multimodal AI platforms supporting image intelligence, semantic search, and automated metadata generation., • Experience reducing operational analytical processing times from hours/days to near real-time through the implementation of massively parallel AI architectures., • Experience implementing secure AI governance and operationalization frameworks aligned with customer AI policies and federal security mandates., • Experience enabling reusable enterprise AI services to accelerate adoption of AI across operational domains. Preferred: • Experience supporting National Security or Intelligence Community programs., • Experience with:, • Image analysis and anomaly detection platforms, • Operational intelligence environments, • Knowledge of:, • NIEM, • WCO Data Model, • HL7/FHIR, • Federated data architectures, • Synthetic data generation, • Experience operationalizing multimodal AI and large-scale AI inferencing environments. Required Skills: • Enterprise AI Architecture, • Generative AI & Agentic AI, • Cloud-Native Engineering, • MLOps & AI Operationalization, • Mission Systems Modernization, • Event-Driven Architecture, • Computer Vision & Image Intelligence, • DevSecOps & Zero Trust, • Federal Security & Compliance, • Technical Leadership, • Innovation & Research, • Executive Communication Education: • Bachelor's Degree in Computer Science, Information Technology Management or Engineering is required., • MBA/Master's Degree in a relevant field of study preferred. Certificates, Licenses and Registrations: • This federal program requires the candidates to be a United States Citizen., • Must have an active DHS clearance., • Any related systems engineering, or related technical certifications are desired., • SAFe Agile or cloud certifications preferred. Communication Skills: • Must have excellent written and verbal communication skills, • Ability to convey technical information to non-technical individuals., • Demonstrated experience communicating effectively across internal and external organizations.

Job Description We are seeking a hands-on Cyber & IT Operations Data / Splunk Analytics Engineer to support the Sponsor’s IT systems data modernization ecosystem. In this role, you will address critical data challenges by establishing data quality baselines, schema standards, and normalization pipelines for high-velocity, disparate cyber feeds and IT operations telemetry (system performance metrics, service health, network infrastructure logs, and application events). Working within an Agile engineering environment, you will architect robust ingest pipelines, build optimized Splunk models and correlation searches, and ensure raw telemetry is transformed into standardized, high-confidence data powering both threat analysis and holistic IT operational health monitoring. • Data Quality & Normalization: Standardize, cleanse, and normalize high-velocity machine data from disparate security tools and IT operational systems into common information schemas (e.g., Splunk CIM) to ensure data fidelity, search efficiency, and unified observability., • Splunk Architecture & Operations: Configure, tune, monitor, and administer distributed Splunk infrastructure (Heavy Forwarders, Universal Forwarders, Indexer Clusters, Search Head Clusters) and ingest streams., • Analytics & Search Optimization: Develop complex, performance-optimized Search Processing Language (SPL) queries, accelerated data models, event correlations, and real-time alerts supporting cyber threat detection and IT operational reliability/availability., • Telemetry Pipeline Engineering: Design and support data routing, parsing, filtering, and transformation pipelines for logs, metrics, and traces using Splunk Forwarders, Syslog/HEC, or Apache NiFi., • Observability & Dashboards: Build operational dashboards and reporting interfaces that translate security events and IT operational health/performance indicators into actionable insights for engineers and leadership., • Ecosystem Integration: Collaborate with platform and cloud engineers to integrate clean, standardized cyber and IT operational datasets with downstream machine learning and automated analytics tooling. Requirements • Splunk Administrative Expertise: Hands-on experience deploying, architecting, managing, and optimizing distributed enterprise Splunk environments, including index management, forwarder configurations, search optimization, and data model acceleration., • Cyber & IT Operations Telemetry Standards: Proven experience with log and metric telemetry (syslog, Windows Event Logs, network flows, application logs, infrastructure metrics), field extraction (⁠props.conf⁠ / ⁠transforms.conf⁠), and enforcing data quality and normalization standards across high-throughput data streams., • Data Ingestion & Pipelines: Experience ingesting, parsing, and routing streaming data utilizing Splunk native inputs, HTTP Event Collector (HEC), Apache NiFi, or Kafka., • Scripting & Automation: Ability to write scripts in Python, Bash, or JSON/REST APIs to automate data collection, pipeline health monitoring, and data sanitization tasks., • Infrastructure & Enclave Environment: Solid working knowledge of Linux system administration, network connectivity troubleshooting, and secure cloud environments (e.g., AWS)., • Education & Experience: Bachelor’s degree in Computer Science, Information Technology, Cybersecurity, or a related field (or equivalent operational engineering experience)., • Must have an active TS/SCI with Polygraph Clearance.

Job Description About Armaments Research Company Armaments Research Company (ARC) is a technology company dedicated to bringing real-time situational awareness and battlefield logistics capabilities to the warfighter. You will be an integral part of the ARC team managing program execution in support of our innovative and powerful IoT devices to enhance national security. Our core offering is the ARC AI-Enabled Weapons Sensor (AEWS), which collects and transmits real-time tactical data to the cloud. This information enables battlefield/tactical awareness and aggregated insights into big data sets that do not exist today. ARC technologies were initially developed in partnership with DARPA and the National Science Foundation and leverage internet-of-things (IoT) technology and machine learning to derive actionable insights and transform operational responses. This novel technology will be deployed at scale to enhance safety, decision-making, and sustainment for the warfighter at the tactical edge. What You'll Do ARC delivers artificial intelligence to the individual weapon, turning weapon systems into networked sensors that enhance warfighter situational awareness, survivability, and sustainment in contested environments. Our full-stack product spans an embedded IoT sensing device hosted in or on the weapon, intelligent mobile applications, and cloud-based analytics that aggregate device data into insights on weapon performance and mission-critical, situation-dependent data streams for our customers across national defense, law enforcement, and security. We are looking for a Senior Systems Engineer to work across the engineering organization (firmware, hardware, mobile, backend, and data science) as the connective tissue that keeps a complex, multi-domain product coherent. You will own the systems-engineering discipline: requirements, interfaces, architecture documentation, and the development processes that let a fast-moving startup ship reliable hardware-plus-software systems. This is not a paper-only role. We want an engineer who can dig into the technical substance across the stack, from a firmware timing issue or a sensor-integration constraint to a networking ICD or a cloud data pipeline, and weigh in credibly, then capture the decision so the whole team moves faster. Role Responsibilities - How You Will Make an Impact Serve as the systems engineer across the engineering team, bridging hardware, firmware, and cloud, and owning end-to-end system architecture and the interfaces where domains meet Capture, decompose, and maintain current and future system requirements spanning the embedded device, mobile applications, and cloud analytics, and trace them from customer need through verification Own the interface control documents (ICDs) and data contracts between firmware, mobile, backend, and data, driving toward machine-readable, version-controlled schemas that keep the BLE, WebSocket, and API contracts aligned as the device firmware and platform evolve Dig into the technical detail as needed, across firmware behavior, sensor and hardware integration, power and timing constraints, networking protocols, and cloud data flow, and provide credible technical judgment to the responsible teams Champion strong development processes (requirements management, design reviews, configuration and change control, and verification/validation) scaled appropriately for a startup Own the creation of clear technical documentation: architecture descriptions, requirements, test plans, and decision records that keep cross-functional teams aligned Drive system-level verification and validation, including component simulators, digital twins, and integration testing for functional verification and regression Collaborate closely with mobile developers, firmware engineers, hardware engineers, and data scientists to design forward-thinking approaches to hard, multi-domain problems This position requires travel less than 10% of the time in support of in-person events including system testing Relevant Skills and Experience Bachelor's degree in systems, electrical, or computer engineering, computer science, or a related field 7+ years of engineering experience, with a track record spanning both hardware/firmware and software systems Demonstrated ability to operate as a systems engineer across disciplines, owning requirements, interfaces, and architecture on products that combine embedded hardware with cloud software Hands-on depth in IoT and embedded systems: sensor integration, firmware/hardware interaction, wireless links such as BLE, constrained-network operation, and device-to-cloud data paths. Familiarity with embedded C, an RTOS such as Zephyr, and low-power wireless SoCs (e.g., Nordic nRF) is a strong plus Strong grasp of networking protocols and interface control documents (ICDs) Familiarity with cloud-agnostic architectures and modern back-end/orchestration technologies Working knowledge of decentralized identity management, including zero-trust frameworks Excellent technical writing and documentation skills, with a bias toward making process lightweight and useful rather than bureaucratic Experience in a start-up environment This position will require access to restricted information and facilities protected under U.S. laws and regulations, including the National Industrial Security Program Operating Manual (NISPOM). Please note that any offer for employment will be conditioned on any required authorization to receive access to such restricted information and facilities necessary to perform the responsibilities of the position. Citizenship Verification: This position requires verification of U.S. Citizenship to meet federal government security screening requirements required for this role. The successful candidate must be a U.S. Citizen and otherwise eligible to obtain access to classified information and facilities necessary to perform the responsibilities of the position. What We Offer: Equity Options 401k plan Employer paid employee medical, dental and vision 12 paid holidays plus Flexible PTO Policy

Job Description **This position can be remote, within 300 miles of Washington D.C. preferred. About Infinitive Infinitive is a data and AI consultancy that enables its clients to modernize, monetize and operationalize their data to create lasting and substantial value. We possess deep industry and technology expertise to drive and sustain adoption of new capabilities. We match our people and personalities to our clients' culture while bringing the right mix of talent and skills to enable high return on investment. Infinitive has been named “Best Small Firms to Work For” by Consulting Magazine 9 times, most recently in 2026. Infinitive has also been named a Washington Post “Top Workplace”, Washington Business Journal “Best Places to Work”, and Virginia Business “Best Places to Work.” About the Role Infinitive is seeking a high-performing New Logo Account Executive to convert business acumen, data strategy insights, and Databricks market knowledge into unique and differentiated business solutions for clients and prospects. The Account Executive is responsible for identifying opportunities across both commercial enterprises and public sector organizations for Infinitive to leverage its deep industry expertise in helping clients solve complex business problems. In this role, you will have the opportunity to work with a world-class technology and transformation consultancy in its pursuit of net-new logos and new buyers within existing clients who are looking to modernize their data ecosystems. The successful candidate will have consultative selling experience and deep domain expertise in Data Architecture, Advanced Analytics, and modern Data Lakehouse platforms. Familiarity with the value propositions of Cloud Computing and DevOps is essential. An appetite for learning about emerging data technologies is critical, as Infinitive continues to expand its footprint in areas such as Generative AI, Machine Learning (MLOps), and Data Governance. A passion for studying and understanding modern data trends will serve the successful candidate well. In this role, you will work closely with market leadership to shape Infinitive’s data offerings and its response to evolving market demands. An aggressive hunter mentality and strong experience leveraging Databricks' partner networks are critical to success in this role. Key Responsibilities Lead Generation & Databricks Co-Selling • Identify, prioritize, and track target accounts and contacts leveraging various research, prospecting, and networking tools, specifically targeting commercial and public sector entities seeking to migrate to, optimize, or scale their Databricks environments., • Collaborate closely with Databricks field sales and account teams to build a shared pipeline, tap into co-sell initiatives, and identify warm leads within the Databricks ecosystem., • Qualify potential opportunities for customer fit, data maturity, procurement vehicles (for public sector), budget, and timeline., • Create and cultivate relationships with potential net-new customers through virtual and in-person meetings, presentations, speaking engagements, and other strategic communication channels., • Maintain a high level of Salesforce hygiene, updating regularly throughout the evolution of the opportunity.Pipeline Management, • In concert with the Infinitive Data Engineering and Sales Engineering teams, develop and demonstrate thought leadership regarding Databricks deployments (Lakehouse architecture, Delta Lake, Unity Catalog) that addresses client needs and advances client initiatives., • Qualify prospective customer opportunities to ensure time spent is aligned with quarterly sales and revenue objectives., • Understand sales funnel methodology and possess the ability to rapidly generate and maintain a 3-4X pipeline of data-focused opportunities across target commercial, public sector, and partner-driven markets.Sales Process Management, • Drive the sales cycle from end-to-end, including facilitation of sales meetings, client data discovery sessions, coordination of Infinitive data architects, proposal creation, project estimation, and client presentations., • Actively work with prospects to identify data project requirements, pain points (e.g., data silos, compliance requirements, high cloud spend, slow analytics performance), and potential Databricks-driven solutions., • Create non-complex proposals, RFP, and RFI responses in an independent manner, navigating commercial buying cycles and formal public sector procurement processes., • Connect cross-functional team members to create complex data transformation solutions and associated enterprise proposals.Deal Closing, • Understand client decision-making processes and all associated stakeholders (including Chief Data Officers, VPs of Analytics, Agency Directors, and Enterprise Architects)., • Work with clients to understand obstacles associated with proposed solutions (such as data security, sovereign cloud requirements, or migration risks) that would interfere with closing the contract., • Facilitate understanding of customer issues and resolve or escalate accordingly., • Gain client commitment and signature on contracts in a timely fashion., • Meet agreed-upon sales quotas and activity-based scorecard expectations.Qualifications, • 6+ years of demonstrated consultative sales or account management experience, with a many-sided track record of selling technology services, data consultancies, or cloud solutions., • Demonstrated success selling Data Solutions, with specific experience articulating the business value of data platform modernizations, AI/ML readiness, or cloud data warehousing., • Proven track record of partnership co-selling, including building strong relationships with account executives., • Experience navigating both Commercial and Public Sector sales cycles is highly preferred, including familiarity with corporate procurement and public RFP/contract vehicle frameworks., • Proven ability to consistently uncover net-new business opportunities within the data and analytics space and successfully shepherd them to close., • Strong technology and business acumen, specifically around data engineering pipelines, business intelligence, and cloud data architecture., • Experience with Databricks and the Databricks partner ecosystem is not required, but preferred., • Ability to rapidly engender trust with C-level and public sector executives (CDOs, CIOs, CTOs, Directors) and facilitate positive outcomes., • Strong executive presence and presentation skills., • Outstanding communication and collaboration skills., • Ability to work as an individual contributor or team player., • Willingness to travel as required by clients and prospects. Powered by JazzHR 2Offbh3XhX

Job DescriptionDescription: C. Mack Solutions is seeking a Junior AI Developer to join an agile AI development team supporting a mission-critical program for the Federal Government. Working under the guidance of senior developers and architects, you will help build, test, and integrate AI-enabled applications — including Generative AI and agentic solutions built on Google Gemini — and grow your skills on a team that values mentorship, rapid iteration, and working software. Responsibilities: • Develop, test, and maintain software components for AI/ML pilot projects and use cases, including Google Gemini-based applications, AI agents, and tool/MCP integrations, under the direction of senior team members., • Build and consume RESTful APIs and back-end services (e.g., Python with FastAPI or Flask) that connect applications to commercial or open-source AI models and enterprise data sources., • Write and refine prompts, and help evaluate model outputs for accuracy, reliability, and consistency., • Write unit tests and perform API testing (e.g., Postman) to validate request/response behavior, authentication flows, and error handling before release., • Work with SQL and NoSQL data stores and cloud data services (e.g., Google BigQuery) to query, prepare, and serve data to AI-enabled applications., • Support deployment of applications to cloud environments (Google Cloud and AWS) and through CI/CD pipelines., • Use AI-assisted development tools responsibly to accelerate coding, testing, and documentation, in line with program policies., • Collaborate with developers, testers, and Data Scientist teams on prototyping teams that deliver working software on short timelines., • Actively participate in agile delivery ceremonies, including sprint planning, daily stand-ups, sprint testing, demonstrations, and retrospectives., • Author clear technical documentation, including design notes, API documentation, and handoff/transition materials., • Stay current with advancements in AI technologies, tools, and best practices, and share what you learn with the team.Requirements: You must live within the DC, MD, VA area. U.S. Citizenship is required. Candidate must be able to obtain a CBP Public Trust clearance. • Bachelor’s degree (B.A./B.S.) in Computer Science, Software Engineering, Data Science, or a related field, conferred by the start date., • 0–2 years of professional software development experience; relevant internships, co-ops, research, and substantial academic or personal projects will be considered., • Programming proficiency in Python plus at least one additional language such as Java, JavaScript, or TypeScript., • Hands-on experience building or consuming RESTful APIs, including familiarity with authentication methods, data formats (JSON/YAML), and API error handling., • Familiarity with fundamental Generative AI concepts, including Large Language Models (LLMs), prompt engineering, and agentic AI patterns., • Exposure to building an application that integrates a commercial or open-source AI model API (academic, internship, or project experience acceptable)., • Working knowledge of SQL and exposure to at least one cloud platform (Google Cloud or AWS)., • Experience with Git-based version control, unit testing, and object-oriented programming., • Exposure to Agile/Scrum development practices., • Strong communication skills, willingness to learn, and the ability to take direction and work effectively on a collaborative team. Preferred Skills and Experience: • Experience with Google Gemini, Google Vertex AI, or AWS Bedrock., • Experience building AI agents or agentic workflows, or working with the Model Context Protocol (MCP)., • Experience with Python web frameworks such as FastAPI or Flask., • Experience with Google Cloud data services such as BigQuery, including awareness of query cost and performance., • Coursework or project experience in machine learning (e.g., classification models, neural networks) or data science., • Experience with a front-end framework such as React or Angular., • Experience with NoSQL databases (e.g., MongoDB)., • Exposure to DevOps/DevSecOps and CI/CD tools such as GitLab., • Entry-level technical certifications such as Google Cloud Digital Leader, AWS Certified Cloud Practitioner, or AWS Certified AI Practitioner., • Experience working in a geographically dispersed, remote team.

Job Description Altus Consulting is seeking a talented Data Scientist to join our team and drive data-driven decision making for our clients. You will leverage your expertise in statistics, machine learning, and data analysis to extract insights from large datasets and solve complex business problems. Responsibilities: • Collect, clean, and prepare data for analysis., • Develop and implement machine learning models for various tasks (e.g., classification, prediction, recommendation)., • Analyze data to identify trends, patterns, and insights., • Communicate findings and recommendations to stakeholders in a clear and concise manner., • Collaborate with engineers and other data professionals to build and deploy data-driven solutions., • Stay up-to-date with the latest advancements in data science techniques and technologies. Preferred Skills: • Strong mathematical and statistical skills., • Experience with machine learning algorithms and libraries (Scikit-learn, TensorFlow, PyTorch)., • Experience with data visualization tools (Tableau, Power BI)., • Excellent communication and presentation skills., • Strong problem-solving and critical thinking skills., • Ability to work independently and as part of a team. Basic Qualifications: • Active TS/SCI with poly clearance is required., • Bachelors degree in Data Science, Statistics, Computer Science, or related field., • 2+ years of experience in data science or a related role., • Understanding of machine learning concepts and techniques. Disclaimer: The information provided in this job description is accurate and truthful to the best of our knowledge. However, it is not intended to be a contract, and we reserve the right to modify the job description at any time. Altus Consulting is dedicated to diversity and inclusion, building a work environment where everyone feels respected and valued. We firmly believe in equal opportunity, guaranteeing fair and unbiased treatment for all individuals in all aspects of employment, regardless of race, color, religion, national origin, gender, sexual orientation, gender identity, pregnancy, childbirth or related medical conditions, age, protected veteran status, or disability status. We oppose discrimination in any form, and our commitment is evident in every interaction.

Job Description Acclaim Technical Services, founded in 2000, is a leading language and intelligence services company supporting a wide range of U.S. Federal agencies. We are an Employee Stock Ownership Plan (ESOP) company, which is uncommon within our business sector. We see this as a significant strength, and it shows: ATS is consistently ranked as a top workplace among DC area firms and continues to grow. We are actively hiring a Media Analyst, Senior with TS/SCI clearance and polygraph to join our Intelligence Division working in Northern Virginia. The Consultant will be responsible for finding unique ways to leverage open source and proprietary data for operational support and our customer's program evaluation activities. This is a multi-year project with growing potential, in which the Consultant will have the opportunity to demonstrate intellectual agility by exploring and leading cutting-edge data research design, data collection, and data analysis for a client in the US Intelligence Community, all centered around media analysis. REQUIRED SKILLS AND DEMONSTRATED EXPERIENCE • TS/SCI with poly required, • Working with regular expressions and developing solutions with Python, Linux basics, Sigma, ION, Analyst Notebook, Data Manipulation, and basic Social Network Analysis, • Natural Language Processing (NLP) in one or more of the following: text preprocessing and cleaning for downstream NLP tasks, information extraction, Named Entity Recognition (NER), identity matching, text normalization, automatic summarization, NLP evaluation, machine translation, machine transliteration, document exploitation pipelines, multilingual computing, ontology management, or computational lexicography, • Experience in:, • Maintaining and managing a custom language model, • Leading qualitative research and program evaluation activities, • Developing presentations and provide briefings to middle and senior management, • Delivering visual representation of data using charts and graphs, • Analyzing information and identifying implications for policy, processes, communications and training on a daily, weekly, and monthly basis, • Familiarity with Measures of Performance and Measures of Effectiveness (MOP/E), • The salary range for this position is $190,000-$240,000 depending on experience. Acclaim Technical Services (ATS), founded in 2000, is a premier provider of tech-enabled solutions and operational services to a broad range of U.S. Federal agencies. As an Employee Stock Ownership Plan (ESOP) company—an uncommon advantage in our sector—we foster a culture of ownership, accountability, and shared success. This commitment to our people shows: ATS is consistently recognized as a top workplace in the DC area and continues to experience strong, strategic growth. Salary Transparency: There are many factors that can influence final salary including, but not limited to, geographic location, Federal Government contract labor categories and contract wage rates, relevant prior work experience, specific skills and competencies, education, and certifications. Our employee owners value the flexibility at ATS that allows them to balance quality work and their personal lives. We offer competitive compensation, career growth, benefits and learning and development opportunities. Our broad mix of exceptional benefits options is designed to support and protect employees and their families. At ATS, you will be eligible to participate in a comprehensive benefits package such as healthcare, wellness, financial, retirement, family support, continuing education, and time off benefits. Learn more at Employee Resources EQUAL EMPLOYMENT OPPORTUNITY (EEO) STATEMENT: ATS is committed to a program of equal employment opportunity without regard to race, color, ethnicity, national origin, ancestry, citizenship, sex, pregnancy, marital status, sexual orientation, age, religion/creed, hairstyles and hair textures, handicap/disability, genetic information/history, military/veteran status, or any other characteristic or condition protected by applicable law. We support the employment and advancement in employment of individuals with disabilities and of protected veterans, and we treat qualified individuals without discrimination on the basis of their physical or mental disability or veteran status. Powered by JazzHR 1lnv3EiUMA

Job Description Unissant, Inc. delivers innovative capabilities to the agencies that keep our nation healthy and safe. We apply our domain expertise, data acumen, and technology know-how to achieve breakthrough results for our clients. Working collaboratively, we advance missions and careers through a focus on honesty, integrity, and dependability. We continuously look for talent, excited to join that effort. To learn more about our exciting organization, please visit us at www.unissant.com. We are seeking an AI Solutions Engineer - Agent Development to join our MissionWorks team and build AI-enabled capabilities for customer and internal use cases. The ideal candidate is a hands-on builder with strong software-development fundamentals, intellectual curiosity, and a practical interest in turning ideas into useful AI capabilities. This individual will work with the MissionWorks Solutions Executive and other technical team members to turn defined mission needs into AI agents, prototypes, workflow automations, integrations, and reusable software components. This role is for an engineer who wants to build before every requirement is fully defined. The successful candidate will be comfortable learning quickly, working through ambiguity, testing ideas with users, and improving solutions based on what works in a real operating environment. They will contribute to prototypes and pilots that demonstrate value quickly and can mature into secure, operational capabilities. Essential Duties and Responsibilities: • Develop and maintain AI agents, AI-enabled prototypes, workflow automations, software components, integrations, and proof-of-concepts for MissionWorks initiatives., • Use Python to develop, test, debug, and maintain AI-enabled software, services, integrations, and technical components; apply C++ where required by the solution environment or performance needs., • Assist with the development of AI-enabled applications using approved tools, platforms, APIs, models, and enterprise data sources., • Design and refine agent workflows, prompts, tool use, retrieval approaches, human-review steps, and output-evaluation methods., • Support the integration of applications with APIs, structured and unstructured data sources, cloud services, knowledge repositories, and internal business systems., • Work with senior technical staff to translate user needs and defined use cases into technical tasks, prototypes, experiments, and iterative releases., • Participate in solution design discussions, technical working sessions, customer demonstrations, testing activities, and user feedback sessions., • Build, test, debug, document, and refine software solutions in accordance with established development, security, and quality standards., • Assist with data preparation, workflow mapping, API development, system integration, user-interface development, and technical troubleshooting as assigned., • Contribute to reusable code, templates, documentation, implementation guides, and technical patterns that support repeatable solution delivery., • Support testing and evaluation of AI-enabled solutions, including functionality, usability, reliability, quality of outputs, and identified limitations., • Collaborate with software engineering, cloud, cybersecurity, data, program, and customer teams to support secure and maintainable solution delivery., • Maintain awareness of emerging AI tools, software-development practices, and technical approaches relevant to assigned work., • Perform other duties as assigned. Work Experience and Job Skills: • One to four years of experience in software engineering, application development, data engineering, automation, cloud engineering, AI development, or a related technical discipline; internships, academic projects, open-source work, and relevant personal projects may be considered., • Demonstrated proficiency in Python is required., • Experience with C++ is required, or the demonstrated ability to become productive in C++ quickly., • Familiarity with software-development practices, source control, testing, debugging, and technical documentation., • Experience or exposure to APIs, JSON, databases, data structures, web services, and system integration., • Experience or exposure to generative AI, large language models, agent frameworks, machine learning, prompt engineering, retrieval-augmented generation, or workflow automation., • Evidence of personally building software, applications, prototypes, automations, AI agents, technical projects, or open-source contributions beyond coursework is strongly preferred., • Ability to learn new tools and technical concepts quickly and apply them to practical use cases., • Strong analytical and problem-solving skills, with a bias toward action and disciplined experimentation., • Ability to work effectively in a collaborative team environment and accept technical direction, feedback, and coaching., • Interest in customer-facing technology delivery, mission-oriented work, and solving real operational problems., • Prior experience in a federal, public-sector, healthcare, defense, intelligence, or regulated environment is preferred but not required. Education: • Bachelor's Degree is required. Preferred field of study in Computer Science, Software Engineering, Information Technology, Information Systems, Data Science, Artificial Intelligence, or related field of study., • Relevant technical coursework, projects, internships, boot camps, or certifications in software development, cloud, data, automation, or AI are preferred. Certificates, Licenses and Registrations: • Relevant entry-level technical certifications are preferred but not required., • Examples may include AWS Cloud Practitioner, Microsoft Azure Fundamentals, Google Cloud Digital Leader, Python, data analytics, or AI-related certifications. Communication Skills: • Strong verbal and written communication skills, with the ability to explain technical work clearly to technical and nontechnical team members., • Ability to document technical decisions, solution assumptions, defects, dependencies, and user feedback in a clear and organized manner., • Comfortable participating in internal and customer-facing meetings, demonstrations, and technical discussions., • Ability to write clear and concise technical content in a highly confidential manner. Clearance Requirements: • Eligibility to obtain and maintain a security clearance is required., • An active DoD Top Secret clearance is desired. Travel: • Limited travel may be required based on customer and program needs. Environmental Requirements: • Mainly a routine office environment., • May be required to lift up to ten (10) pounds., • Flexible in working extended hours. The above statements are intended to describe the general nature and level of work being performed by the individual(s) assigned to this position. They are not intended to be an exhaustive list of all duties, responsibilities, and skills required. Unissant management reserves the right to modify, add, or remove duties and to assign other duties as necessary. In addition, where applicable and available, reasonable accommodation(s) may be made to enable individuals with disabilities to perform essential functions of this position. Please note: Candidate(s) will be required to go through pre-employment screening. Unissant, Inc. is a proud Equal Opportunity Employer! (EOE; M/F/Disability/Vets) Job Posted by ApplicantPro

Description Interested in expanding your technical impact. Love solving tough problems. Interested in expanding your technical impact. Love solving tough problems. Come architect the answers. Leidos has an immediate opening for a Solutions Architect to join our Mission Solutions team within the Intelligence Sector and serve as a key technical contributor within the CTO organization. This role is for technically curious problem-solvers who want to tackle challenges bigger than any one technology or system. If you enjoy understanding how secure networks and systems work, identifying vulnerabilities, defending against cyber threats, or solving complex security challenges, this role offers an opportunity to think bigger. Apply your technical experience to architect solutions that bring together cybersecurity, network and systems engineering, communications, AI, and emerging technologies to solve critical mission problems. We're looking for someone with a strong technical foundation, curiosity, systems thinking, and the ability to learn. You don't need to know every technology or mission domain. You just need to be comfortable asking questions, working with subject matter experts, evaluating alternatives, and turning an ambiguous problem into a well-reasoned technical approach. This position reports to the CTO for the Mission Solutions Business Area. Primary Responsibilities • Support Technical Solution Development: Contribute to the design of mission-aligned technical approaches that integrate emerging and established technologies to address customer challenges., • Solve Complex Technical Problems: Help analyze mission needs and requirements, break down complex problems, and contribute to well-reasoned solution approaches., • Contribute to Capture and Proposal Efforts: Support capture and business development activities by contributing to technical narratives, whitepapers, concept papers, and proposal sections under the guidance of experienced solution architects., • Research and Evaluate Emerging Technologies: Assist in evaluating new capabilities such as AI-driven analytics, cyber resilience frameworks, cyber security operations, communications architectures, automation tools, or modeling and simulation technologies, and help assess how they may fit into mission solutions., • Communicate Technical Concepts: Participate in technical discussions and briefings, helping articulate solution approaches to engineers, program teams, and leadership., • Collaborate Across Domains: Work with SMEs across various emerging technical domains to build cohesive, multi-domain solutions. Primary Focus Areas • Cybersecurity and Resilient Architectures, • Enterprise IT, Cloud and Digital Modernization, • Artificial Intelligence and Machine Learning Technologies, • Communications and Spectrum-Dependent Systems, • Network and Security Operations, • Systems and Enterprise Engineering, • Enterprise Solutions Architecture Basic Qualifications • Bachelor’s degree in a STEM-related discipline with 12+ years of relevant technical experience, or Master’s degree with 10+ years of experience., • Technical experience in one or more disciplines such as cybersecurity, network engineering, cloud infrastructure, software engineering, communications systems, intelligence and data collection technologies, or mission operations., • Strong analytical and problem-solving skills, with the ability to interpret requirements and contribute to well-reasoned technical approaches., • Experience working within or supporting the Intelligence Community (IC), with an understanding of its missions, operational environments, and technical challenges., • Experience communicating technical concepts clearly to engineers, analysts, and program teams through briefings, documentation, or design discussions., • Ability to research unfamiliar technical areas, learn new concepts quickly, synthesize information from multiple sources, and apply that knowledge to solving technical problems., • Familiarity with systems engineering practices, enterprise architecture concepts, or mission communications environments., • Experience contributing to technical documentation such as design artifacts, concept papers, architecture discussions, whitepapers, or proposal sections., • Ability to collaborate across technical disciplines and learn new domains as needed to support solution development., • U.S. Citizen with active TS/SCI security clearance and Polygraph Preferred Qualifications • Experience as solution architect or technical lead solving technical problems that required considering multiple systems, technologies, mission needs, or technical disciplines., • Technical expertise in one or more mission-critical domains such as Artificial Intelligence/Machine Learning (AI/ML), cloud platforms (e.g., AWS, Microsoft Azure, Oracle Cloud Infrastructure), enterprise and mission networks, cyber defense operations, digital modernization, data collection architectures, or distributed communications systems with proven ability to apply it to shape the future of technology., • Experience designing, evaluating, or integrating technical capabilities across multiple systems or disciplines, including secure network architectures, cyber defense, cloud environments, data collection platforms, or emerging technologies., • Awareness of current technology ecosystems, vendors, and platforms relevant to mission systems., • Experience leading cross-functional teams, bringing together diverse expertise to solve complex challenges, develop integrated solutions, and drive technical direction., • Ability to conduct technical research into new technologies, evidence gathering to help shape solutions., • Ability to work effectively in situations where the problem, requirements, or technical solution may not initially be well defined. Why Leidos At Leidos, you'll tackle complex national security challenges, collaborate with experts across technical disciplines, and explore emerging technologies to shape innovative mission solutions. If you thrive on solving tough technical problems, enjoy learning something new, and want your ideas to make a difference, this is your seat at the whiteboard where tomorrow's mission solutions take shape. Bring your expertise. Think bigger. Help architect what's next. If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo — because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 — and moving faster than anyone else dares. November 2, 2026 For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above. Pay Range $131,300.00 - $237,350.00 The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law. About Leidos Leidos is an industry and technology leader serving government and commercial customers with smarter, more efficient digital and mission innovations. Headquartered in Reston, Virginia, with 47,000 global employees, Leidos reported annual revenues of approximately $16.7 billion for the fiscal year ended January 3, 2025. For more information, visit _. Pay and Benefits Pay and benefits are fundamental to any career decision. That's why we craft compensation packages that reflect the importance of the work we do for our customers. Employment benefits include competitive compensation, Health and Wellness programs, Income Protection, Paid Leave and Retirement. More details are available at _. Securing Your Data Beware of fake employment opportunities using Leidos’ name. Leidos will never ask you to provide payment-related information during any part of the employment application process (i.e., ask you for money), nor will Leidos ever advance money as part of the hiring process (i.e., send you a check or money order before doing any work). Further, Leidos will only communicate with you through emails that are generated by the Leidos.com automated system – never from free commercial services (e.g., Gmail, Yahoo, Hotmail) or via WhatsApp, Telegram, etc. If you received an email purporting to be from Leidos that asks for payment-related information or any other personal information (e.g., about you or your previous employer), and you are concerned about its legitimacy, please make us aware immediately by emailing us at _. If you believe you are the victim of a scam, contact your local law enforcement and report the incident to the _. Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law. Leidos will also consider for employment qualified applicants with criminal histories consistent with relevant laws.

Description Who We Are: Kudu Dynamics is Leidos Owned Company, forged out of a decade of experience in computer network operations and staffed with talent who have built, overseen, and enhanced capabilities throughout the entire USG arsenal. Our team of hackers and engineers have experience spanning centuries of research, development, and operations missions - across desktop, mobile, IoT, and embedded platforms. Kudu Dynamics, a Leidos company is uniquely qualified to anticipate tomorrow’s threats and build the next generation of capabilities. We are seeking a Technical Program Manager to lead execution across the teams developing an AI-powered, autonomous vulnerability operations platform. The role sits between vulnerability researchers, software engineers, machine learning engineers, and government stakeholders, and is responsible for translating an evolving technical capability into a product delivered on a predictable release cadence. Responsibilities could span roadmap and release planning, dependency management across model providers and third-party components, and coordination of accreditation and deployment timelines for a range of implementation environments and diverse customer stakeholders. The Technical Program Manager will maintain sufficient technical depth to evaluate estimates, identify unstated dependencies, and communicate scope, schedule, and risk accurately to both engineering teams and senior stakeholders. Required Experience: • 10+ years of professional experience in technical program management, engineering management, or product development, including delivery of software products to production., • Experience owning technical delivery from concept through production release, including scoping, sequencing, and driving execution across multiple engineering disciplines without direct authority., • Technical fluency sufficient to review design documentation, evaluate estimates, and manage dependencies at the architecture level. Hands-on engineering background preferred., • Experience managing software deployments and release processes at scale across multiple cloud, on-premises, and air-gapped or classified installations, including the constraints those environments place on release cadence and update paths., • Experience delivering in a government or regulated environment, including management of accreditation timelines (RMF, ATO, and continuous ATO) as schedule dependencies., • Experience managing programs which incorporating AI/ML or agentic components., • Demonstrated ability to communicate program status, risk, and tradeoffs to engineering teams, executive leadership, and customer stakeholders. Relevant Skills: Program Execution • Roadmap development, release planning, and cadence management, actual/planned program financials, • Cross-team dependency mapping and critical path management, • Risk identification, mitigation planning, and escalation, • Agile, Scrum, SAFe, or Kanban at team and program level, • Program metrics and reporting, including Release Health, and Progress Briefs Technical Program Manager – Job Description: Technical Fluency • Software development lifecycle and DevSecOps pipelines, • CI/CD, build integrity, and release engineering, • Cloud and on-premises infrastructure, containers, and Kubernetes, • API and integration planning across systems and vendors, • Vulnerability management workflows and security tooling (SAST, DAST, SCA), • AI/LLM system delivery, including evaluation frameworks, model orchestration, and benchmarking Preferred Qualifications: • Prior experience supporting vulnerability research, offensive security, or cyber operations programs, • Experience transitioning research or prototype capability into a sustained product, • Active security clearance, • Certifications such as PMP, If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo — because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 — and moving faster than anyone else dares. September 9, 2026 For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above. Pay Range $131,300.00 - $237,350.00 The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law. About Leidos Leidos is an industry and technology leader serving government and commercial customers with smarter, more efficient digital and mission innovations. Headquartered in Reston, Virginia, with 47,000 global employees, Leidos reported annual revenues of approximately $16.7 billion for the fiscal year ended January 3, 2025. For more information, visit _. Pay and Benefits Pay and benefits are fundamental to any career decision. That's why we craft compensation packages that reflect the importance of the work we do for our customers. Employment benefits include competitive compensation, Health and Wellness programs, Income Protection, Paid Leave and Retirement. More details are available at _. Securing Your Data Beware of fake employment opportunities using Leidos’ name. Leidos will never ask you to provide payment-related information during any part of the employment application process (i.e., ask you for money), nor will Leidos ever advance money as part of the hiring process (i.e., send you a check or money order before doing any work). Further, Leidos will only communicate with you through emails that are generated by the Leidos.com automated system – never from free commercial services (e.g., Gmail, Yahoo, Hotmail) or via WhatsApp, Telegram, etc. If you received an email purporting to be from Leidos that asks for payment-related information or any other personal information (e.g., about you or your previous employer), and you are concerned about its legitimacy, please make us aware immediately by emailing us at _. If you believe you are the victim of a scam, contact your local law enforcement and report the incident to the _. Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law. Leidos will also consider for employment qualified applicants with criminal histories consistent with relevant laws. #Remote

Description Who We Are: Kudu Dynamics is Leidos Owned Company, forged out of a decade of experience in computer network operations and staffed with talent who have built, overseen, and enhanced capabilities throughout the entire USG arsenal. Our team of hackers and engineers have experience spanning centuries of research, development, and operations missions - across desktop, mobile, IoT, and embedded platforms. Kudu Dynamics, a Leidos company is uniquely qualified to anticipate tomorrow’s threats and build the next generation of capabilities. We are seeking a Technical Program Manager to lead execution across the teams developing an AI-powered, autonomous vulnerability operations platform. The role sits between vulnerability researchers, software engineers, machine learning engineers, and government stakeholders, and is responsible for translating an evolving technical capability into a product delivered on a predictable release cadence. Responsibilities could span roadmap and release planning, dependency management across model providers and third-party components, and coordination of accreditation and deployment timelines for a range of implementation environments and diverse customer stakeholders. The Technical Program Manager will maintain sufficient technical depth to evaluate estimates, identify unstated dependencies, and communicate scope, schedule, and risk accurately to both engineering teams and senior stakeholders. Required Experience: • 10+ years of professional experience in technical program management, engineering management, or product development, including delivery of software products to production., • Experience owning technical delivery from concept through production release, including scoping, sequencing, and driving execution across multiple engineering disciplines without direct authority., • Technical fluency sufficient to review design documentation, evaluate estimates, and manage dependencies at the architecture level. Hands-on engineering background preferred., • Experience managing software deployments and release processes at scale across multiple cloud, on-premises, and air-gapped or classified installations, including the constraints those environments place on release cadence and update paths., • Experience delivering in a government or regulated environment, including management of accreditation timelines (RMF, ATO, and continuous ATO) as schedule dependencies., • Experience managing programs which incorporating AI/ML or agentic components., • Demonstrated ability to communicate program status, risk, and tradeoffs to engineering teams, executive leadership, and customer stakeholders. Relevant Skills: Program Execution • Roadmap development, release planning, and cadence management, actual/planned program financials, • Cross-team dependency mapping and critical path management, • Risk identification, mitigation planning, and escalation, • Agile, Scrum, SAFe, or Kanban at team and program level, • Program metrics and reporting, including Release Health, and Progress Briefs Technical Program Manager – Job Description: Technical Fluency • Software development lifecycle and DevSecOps pipelines, • CI/CD, build integrity, and release engineering, • Cloud and on-premises infrastructure, containers, and Kubernetes, • API and integration planning across systems and vendors, • Vulnerability management workflows and security tooling (SAST, DAST, SCA), • AI/LLM system delivery, including evaluation frameworks, model orchestration, and benchmarking Preferred Qualifications: • Prior experience supporting vulnerability research, offensive security, or cyber operations programs, • Experience transitioning research or prototype capability into a sustained product, • Active security clearance, • Certifications such as PMP, If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo — because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 — and moving faster than anyone else dares. September 9, 2026 For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above. Pay Range $131,300.00 - $237,350.00 The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law. About Leidos Leidos is an industry and technology leader serving government and commercial customers with smarter, more efficient digital and mission innovations. Headquartered in Reston, Virginia, with 47,000 global employees, Leidos reported annual revenues of approximately $16.7 billion for the fiscal year ended January 3, 2025. For more information, visit _. Pay and Benefits Pay and benefits are fundamental to any career decision. That's why we craft compensation packages that reflect the importance of the work we do for our customers. Employment benefits include competitive compensation, Health and Wellness programs, Income Protection, Paid Leave and Retirement. More details are available at _. Securing Your Data Beware of fake employment opportunities using Leidos’ name. Leidos will never ask you to provide payment-related information during any part of the employment application process (i.e., ask you for money), nor will Leidos ever advance money as part of the hiring process (i.e., send you a check or money order before doing any work). Further, Leidos will only communicate with you through emails that are generated by the Leidos.com automated system – never from free commercial services (e.g., Gmail, Yahoo, Hotmail) or via WhatsApp, Telegram, etc. If you received an email purporting to be from Leidos that asks for payment-related information or any other personal information (e.g., about you or your previous employer), and you are concerned about its legitimacy, please make us aware immediately by emailing us at _. If you believe you are the victim of a scam, contact your local law enforcement and report the incident to the _. Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law. Leidos will also consider for employment qualified applicants with criminal histories consistent with relevant laws. #Remote

Job Description Are you a passionate Machine Learning Engineer with a strong background in SageMaker, prompt engineering, and LLM (Large Language Model) model tuning? Do you thrive in a dynamic and innovative environment, eager to push the boundaries of AI capabilities? If so, we invite you to join our team as we revolutionize the world of AI-driven applications. Position: Machine Learning Engineer Location: Remote Preferred Resource Location: LATAM About Us: Maxiom Technology is a cutting-edge technology company at the forefront of AI-driven solutions. We specialize in developing intelligent applications that leverage the power of machine learning and natural language processing. Our team consists of talented individuals who are dedicated to creating groundbreaking solutions that transform industries. Responsibilities: • Collaborate with cross-functional teams to design, develop, and deploy machine learning models using Amazon SageMaker., • Utilize your expertise in prompt engineering to craft effective inputs for LLM models to achieve desired outputs., • Fine-tune and optimize LLM models to enhance performance, efficiency, and accuracy., • Design and implement experiments to evaluate model performance, iteratively improving results., • Stay up-to-date with the latest advancements in machine learning, particularly in the realm of LLM models and prompt engineering techniques., • Identify and troubleshoot issues related to model performance, data quality, and integration., • Contribute to the entire machine learning lifecycle, from data preprocessing and training to deployment and monitoring., • Collaborate with software engineers to integrate machine learning solutions into our applications., • Document your work, best practices, and findings to share knowledge across the team. Qualifications: • Bachelor's degree in Computer Science, Engineering, or a related field (Master's or PhD preferred)., • Proven experience in developing and deploying machine learning models using Amazon SageMaker., • Strong background in prompt engineering techniques for fine-tuning LLM models., • Proficiency in programming languages such as Python for model development and experimentation., • Solid understanding of natural language processing concepts and techniques., • Familiarity with deep learning frameworks (e.g., TensorFlow, PyTorch) and their integration with SageMaker., • Experience with data preprocessing, feature engineering, and data augmentation., • Problem-solving skills to diagnose and address model performance and data-related issues., • Excellent communication skills to collaborate effectively within multidisciplinary teams., • Ability to adapt to evolving technologies and learn quickly in a fast-paced environment. Bonus Skills: • Publications or contributions to the machine learning community., • Experience with cloud services (AWS, Azure, Google Cloud) and containerization technologies., • Knowledge of DevOps practices for model deployment and monitoring. Why Join Us: • Opportunity to work on cutting-edge projects that push the boundaries of AI technology., • Collaborative and inclusive work environment that values innovation and creativity., • Access to resources and support for continuous learning and professional growth., • Competitive compensation package and benefits. If you are an ambitious Machine Learning Engineer with a proven track record in SageMaker, prompt engineering, and LLM model tuning, we would love to hear from you. Join us in our mission to create groundbreaking AI solutions that shape the future. Apply now by sending your resume and a cover letter. Maxiom Technology is an equal opportunity employer. We encourage applications from candidates of all backgrounds and experiences.

Job DescriptionAcclaim Technical Services, founded in 2000, is a leading language, operations, and technology services company supporting a wide range of U.S. Federal agencies. We are an Employee Stock Ownership Plan (ESOP) company, which is uncommon within our business sector. We see this as a significant strength, and it shows: ATS is consistently ranked as a top workplace among DC area firms and continues to grow. We’re looking for a Data Engineer who is passionate about building modern, scalable solutions for ingesting and transforming data. This role blends back-end engineering with data pipeline development and is perfect for someone who enjoys designing modular services and bringing structure to complex data environments. As part of our Agile team, you’ll design and develop software products and services that efficiently ingest, process, and manage data from a variety of sources. You’ll play a key role in building robust, reusable APIs and data pipelines that support critical operational and analytical systems. KEY RESPONSIBILITIES • Design and develop scalable backend services and data ingestion solutions., • Perform data modeling, data mapping, and large-scale file manipulation., • Collaborate across disciplines in an Agile environment with minimal supervision., • Drive innovation and process improvement with a hands-on development approach., • Optimize application for maximum speed and scalability. QUALIFICATIONS • Bachelor’s Degree in Computer Science, Electrical or Computer Engineering or a related technical discipline, or the equivalent combination of education, technical training, or work/military experience., • At least five (5) years of related experience software engineering experience., • A current TS/SCI with polygraph is required. REQUIRED KNOWLEDGE/SKILLS • Knowledge of NodeJS or Python, • Strong understanding of APIs, microservices, and distributed systems., • Strong understanding of Large Language Models (LLMs) and using them to enrich data, • Solid experience in building and maintaining ETL workflows and data pipelines., • Excellent organizational, coordination, interpersonal and team building skills., • Familiarization with NoSQL datastores., • Familiarization with MCP Servers and API management DESIRED KNOWLEDGE/SKILLS • NiFi experience, • Experience with Flask Application Development, • Experience with Claude Code, Codex, NemoClaw, Aider, Kiro, Gemini CLI, OpenCode or other AI harness., • Familiarity with Machine Learning Operations (MLOps), • Hands-on experience working with Elastic and RabbitMQ, • NoSQL experience (i.e. MongoDB), • Cloud based and Distributed architecture creation or experience, • Experience developing on the Amazon Web Services Cloud or other cloud provider., • Graph Databases (Janus/Cassandra)., • Graph Query Languages. At ATS, you will be eligible to participate in a comprehensive benefits package such as healthcare, wellness, financial, retirement, family support, continuing education, and time off benefits. Learn more here Employee Resources. The proposed salary range for this position is: $250,000-260,000. Acclaim Technical Services (ATS), founded in 2000, is a premier provider of tech-enabled solutions and operational services to a broad range of U.S. Federal agencies. As an Employee Stock Ownership Plan (ESOP) company—an uncommon advantage in our sector—we foster a culture of ownership, accountability, and shared success. This commitment to our people shows: ATS is consistently recognized as a top workplace in the DC area and continues to experience strong, strategic growth. Salary Transparency: There are many factors that can influence final salary including, but not limited to, geographic location, Federal Government contract labor categories and contract wage rates, relevant prior work experience, specific skills and competencies, education, and certifications. Our employee owners value the flexibility at ATS that allows them to balance quality work and their personal lives. We offer competitive compensation, career growth, benefits and learning and development opportunities. Our broad mix of exceptional benefits options is designed to support and protect employees and their families. At ATS, you will be eligible to participate in a comprehensive benefits package such as healthcare, wellness, financial, retirement, family support, continuing education, and time off benefits. Learn more at Employee Resources EQUAL EMPLOYMENT OPPORTUNITY (EEO) STATEMENT: ATS is committed to a program of equal employment opportunity without regard to race, color, ethnicity, national origin, ancestry, citizenship, sex, pregnancy, marital status, sexual orientation, age, religion/creed, hairstyles and hair textures, handicap/disability, genetic information/history, military/veteran status, or any other characteristic or condition protected by applicable law. We support the employment and advancement in employment of individuals with disabilities and of protected veterans, and we treat qualified individuals without discrimination on the basis of their physical or mental disability or veteran status. Powered by JazzHR duY1OVWj2s

Job Description ABOUT US Hey! We’re Molg We’re building robotic systems that make electronics manufacturing circular. We work with hyperscalers and leading electronics manufacturers to automate how hardware is designed, manufactured, disassembled, repaired, reused, and recovered. Using robotics, computational design, and AI, our systems turn today’s e-waste into resilient, data-driven supply chains—and change how electronics are made in the first place. A core part of what makes Molg's systems work is spatial intelligence: the ability to understand, model, and reason about complex physical environments—down to the geometry, tolerances, and dynamics of individual components. Our synthesis and computational design platform sits at the intersection of geometry, algorithms, and physical reasoning, and is central to how we automate the design and execution of manufacturing and disassembly processes at scale. IN THIS ROLE YOU WILL: Join a talented cross-functional team of robotics, software, mechanical, and electrical engineers to develop Molg's computational design and spatial intelligence platform. As a Synthesis / Computational Design Engineer, you will: Design and implement algorithms for geometric reasoning, spatial analysis, and computational synthesis—enabling Molg's systems to automatically understand and operate on complex physical assemblies. Build the computational backbone for automated process planning: translating 3D representations of electronics into actionable, robot-executable sequences for assembly, disassembly, repair, and recovery. Develop tools and pipelines for working with 3D geometry—including mesh processing, point cloud analysis, CAD interoperability, and physics-informed simulation—to support perception, planning, and verification workflows. Collaborate with robotics and controls engineers to close the loop between spatial models and physical execution—ensuring that synthesized plans are feasible, robust, and safe. Contribute to the design and evolution of Molg's internal data models for representing products, components, processes, and spatial relationships across the manufacturing lifecycle. Prototype and evaluate new approaches to geometric search, constraint solving, and design space exploration—drawing from fields like computational geometry, CAD/CAM, and generative design. Build scalable, production-grade software that integrates computational design capabilities into Molg's broader robotics and microfactory platform. Participate in design reviews and technical discussions, bringing rigorous geometric and algorithmic thinking to cross-functional problems. Stay current with advances in computational design, geometry processing, and spatial AI—identifying and applying relevant techniques to Molg's challenges. You'll have the opportunity to build alongside an incredible team, develop innovative solutions, and grow in a fast-paced environment that values autonomy and impact. WHO YOU ARE: We're looking for someone who combines strong algorithmic and geometric instincts with the engineering rigor to build reliable, production-quality systems. The ideal candidate has: 5+ years of experience in computational geometry, geometric computing, computational design, CAD/CAM software development, or a closely related field. Proficiency in Python and/or C++, with experience writing performance-sensitive geometric or numerical code. Deep familiarity with 3D geometry representations—meshes, point clouds, solid models (B-rep), voxel grids, or implicit surfaces—and the algorithms that operate on them. Experience with one or more geometry processing or computational design tools or libraries (e.g., Open3D, CGAL, libigl, OpenCASCADE, Rhino/Grasshopper, or similar). Strong understanding of linear algebra, computational geometry fundamentals, and numerical methods as applied to 3D problems. Comfort working in a research-to-production context: able to prototype rapidly, then harden and scale solutions for real-world deployment. Experience integrating geometric pipelines with downstream systems—robotics, simulation, databases, or web services. A track record of shipping complex technical work end-to-end, not just prototyping. Excellent communication skills; able to explain geometric and algorithmic concepts clearly to engineers from different disciplines. Nice to have: Experience with robotic motion planning, task planning, or manipulation—particularly in the context of geometric reasoning. Familiarity with machine learning approaches to geometry (e.g., 3D neural representations, learned shape descriptors, or spatial transformers). Background in electronics manufacturing, PCB design, or physical product development. Experience with physics simulation (e.g., PyBullet, MuJoCo, Isaac Sim) or tolerance analysis. Contributions to open-source geometry or robotics software. WHO WE ARE: We spend our days building robotic systems, developing complex assembly intelligence software, and designing the next generation of circular products for our customers. Given the importance of working hands-on with physical systems, the majority of our team is in-person collaboratively working in our industrial space in Sterling, VA, down the road from the largest data center market in the world. Our facility includes a variety of robots, CNC milling machines, 3D printers, and all the tools needed to build and test our products. It is important to us that anyone on our team that is interested in learning how to use our various pieces of equipment and machinery is taught and can gain the skills and appreciation for making physical things. THINGS TO KNOW: We’re a hands on collaborative team with big ambitions, and there’s a good amount of context-switching. We expect people to be autonomous and drive their own work to completion. We are scrappy and looking to build a great sustainable company for years to come. As a growing company and startup, priorities may shift as customer or business requirements change. We strive to empower individuals with context and decision-making power to meet this need.

Job Description J5 Consulting is a Maryland based company established in 2006 to provide computing and consulting services for government and commercial entities. Our services improve Information System networking performance and compliance and protect electronic assets from loss and compromise. We welcome your application to receive consideration for the following position. Introduction The Sponsor’s office leads an effort to bring its enterprise services into compliance with Federal data standards and formats. The Sponsor is seeking analytical support to review, compare, and make recommendations for actions (data cleansing and transformation), as well as support data migration planning and coordination efforts. The Sponsor also seeks to build a skills inventory, which will eventually integrate with other Sponsor’s systems, capturing both position skill requirements and competency levels, as well as personnel skill and competencies. The Sponsor's project manager will manage priorities. Required Skills and Demonstrated Experience: • Demonstrated experience designing, creating tables, views, relationships, and scripting (SQL) with database systems (e.g., Oracle, MySQL, PostgreSQL, SQL, NOSQL, and/or structured and unstructured data)., • Demonstrated experience with implementing and using extract, transform, and load (ETL) tools., • Demonstrated experience implementing, using, and creating Data Application Programming Interfaces (APIs) or data services., • Demonstrated experience with Python, Java, and Scala programming languages., • Demonstrated experience implementing, using, and creating data visualizations., • Demonstrated experience implementing, using, or creating ML/AI software, tools, and services., • Demonstrated experience using or creating Amazon Web Services (AWS)-based analytic tools and services., • Demonstrated experience using and implementing Apache Hadoop. Desired Skills and Demonstrated Experience: • Demonstrated experience with using and creating Tableau visualizations., • Demonstrated experience with using and creating workspaces in Bluescape., • Demonstrated experience working with data services in the Sponsor’s cloud environment., • Demonstrated experience with the Sponsor’s HR data and database environment., • Demonstrated experience using SharePoint, and adding and integrating content., • Demonstrated knowledge of Agile Project Management Methodology. US Citizenship: • This position requires US Citizenship. Verification of US Citizenship to meet federal government security requirements will be confirmed. Security Clearance: • The successful candidate must have an active U.S. Government Top Secret Security Clearance with a Full Scope Polygraph., • Clearance Verification: This position requires successful verification of the stated security clearance to meet federal government customer requirements. You will be asked to provide clearance verification information prior to an offer of employment. Travel: • This position is expected to be onsite. The position will be located within the Washington Metropolitan Area (WMA). Local travel/POV will be on an as needed basis, within the local place of performance. Join J5 Consulting and Grow Your Cybersecurity Career At J5, we’re a team of innovators protecting organizations from evolving cyber threats. With 18+ years of success in government and commercial sectors, we offer meaningful opportunities to grow your career. Enjoy comprehensive benefits, including: • 100% employer-paid health coverage, • a 6% 401(k) match, • PTO, • tuition reimbursement, • bonuses, • professional development, and more. Ready to make an impact? Explore our open positions and apply today. Powered by JazzHR 4LVsjWuw2G

Job Description North Point Technology is looking to hire a Full Stack Software Engineer to support a mission-critical GEOINT enterprise application program. This role requires an active Top Secret/SCI clearance. The program operates under DevSecOps and Agile methodologies and focuses on sustainment and evolution of a large-scale enterprise system that enables users to submit, search, discover, and retrieve geospatial intelligence data across a broad network of suppliers. As a member of an Agile scrum team, the selected individual will contribute to software development activities across the full development lifecycle in a fast-paced, mission-driven environment. Responsibilities: The selected individual will plan, conduct, and coordinate software development activities within an Agile scrum team, designing, developing, documenting, testing, and debugging software that addresses complex mission and business problems. The role involves applying appropriate standards, processes, procedures, and tools throughout the software development lifecycle; leveraging knowledge of computer hardware, software, and information processing techniques to develop solutions based on system user requirements; correcting program errors; compiling program development documentation; and analyzing system capabilities to resolve questions related to program intent, output requirements, input data acquisition, programming techniques, and controls. Required Skills/Experience: • Java software development, including writing, modifying, and troubleshooting Java code, • Troubleshooting and navigating multiple operating system environments (Linux and/or Windows), • Agile software development methodologies and participation in Agile scrum teams Preferred Skills/Experience: • Large-scale software integration pipeline concepts leveraging Docker, Chef, Git, JIRA, Kubernetes, Jenkins, Conductor, Kafka/Zookeeper, Consul, and/or CMDB, • COTS/FOSS integration and support, • Scaled Agile Framework (SAFe) and associated tools such as VersionOne and Jira, • Cloud infrastructure design or administration, • DevSecOps tooling and practices (e.g., Docker, Git, DevSecOps pipelines, GitOps), • Front-end and/or back-end development technologies (e.g., CSS, XML, Tailwind, Python, microservices, automated testing), • Big data technologies including data ingest, analytics, Elasticsearch, Kubernetes, GitOps pipelines, Kinetica, and COTS integration, • Database and SQL development using Oracle DBMS, PostgreSQL, SQL, PL/SQL, MongoDB, and/or MySQL RDS, • AI and/or Machine Learning technologies, • Drools rules engine Qualifications: • Bachelor's degree in Computer Science or a related field, • Active Top Secret/SCI security clearance, • U.S. citizenship required North Point Technology is THE BEST place to work for curious-minded engineers motivated to support our country's most crucial missions! We focus on long term projects, leveraging the latest technology in support of innovative solutions to solve our customer's most difficult problems. At North Point Technology, EMPLOYEES come first! We value our employees by providing excellent compensation, benefits, and a flexible work-life balance. We strive for a close-knit and open atmosphere where the owners are always directly available to our team members. Come join us! Apply with North Point Technology today! For positions requiring a federal security clearance, your clearance level must be clearly identified on your resume.

Job Description Intelligent Automation/AI-ML Engineer (Full Stack Engineer) Location: Herndon, VA (Hybrid Work) Preferred: US Citizenship Experience: 8+ yrs Position Summary The Intelligent Application / AI-ML Engineer is the architect and guardian of intelligent application solutions that incorporate AI/ML technologies using tools such as open source AI models. This role ensures the operational efficiency and continuous refinement of integrated AI/ML solutions across the organization. Responsibilities span the design, maintenance, and optimization of intelligent applications, including troubleshooting and resolving issues that arise after implementation. The engineer will also explore new ways to embed artificial intelligence and machine learning into applications, supporting continuous improvement, learning, and augmented decision making. A key focus is building repeatable, reusable intelligent solutions for document processing, data cleansing, and similar use cases. Key ResponsibilitiesSolution Design and Development • Design, build, and deploy intelligent application solutions that integrate AI/ML models with business workflows using modern development frameworks and open source AI models., • Develop repeatable, reusable components and services for document processing, data extraction, classification, and data cleansing., • Translate business requirements into technical designs, solution architectures, and documented standards., • Build end-to-end applications as a full stack engineer, including front-end user interfaces, backend servers and APIs, AI/ML models, databases, and business rules., • Develop and expose AI capabilities and tools through Model Context Protocol (MCP) servers so applications can use them in a consistent, reusable way., • Implement business rules and decision logic that work alongside AI models, with clear governance, testing, and auditability.AI/ML Operations and Optimization, • Manage the lifecycle of open source AI models, including deployment, versioning, monitoring, retraining, and retirement., • Monitor model performance, accuracy, and drift, and tune solutions to maintain operational efficiency over time., • Implement feedback loops (e.g., human-in-the-loop validation) to drive continuous learning and refinement., • Optimize application performance, scalability, and resource utilization.Support and Troubleshooting, • Troubleshoot and resolve post-implementation issues in open source AI models, ML pipelines, and integrated applications., • Perform root cause analysis on production incidents and implement lasting fixes., • Maintain runbooks, support documentation, and knowledge base articles., • Partner with infrastructure, security, and platform teams to maintain a stable and compliant environment.Collaboration, • Work with business analysts, process owners, data teams, and IT to deliver solutions aligned with business goals., • Communicate progress, risks, and results clearly to technical and non-technical audiences. Requirements Required Qualifications • Bachelor's degree in Computer Science, Data Science, Engineering, Information Systems, or a related field (or equivalent experience)., • Experience in intelligent application development, with hands-on experience building enterprise applications., • Working experience with open source AI models and document understanding techniques, or comparable AI/ML frameworks and tools., • Proficiency in Python and common ML libraries (e.g., scikit-learn, pandas, TensorFlow or PyTorch)., • Understanding of the ML lifecycle: data preparation, training, evaluation, deployment, monitoring, and retraining., • Experience building document processing and data cleansing solutions., • Strong troubleshooting and problem-solving skills in production environments., • Solid knowledge of APIs, integrations, SQL, and data formats (JSON, XML, CSV)., • Excellent written and verbal communication skills., • Full stack development experience: proficiency in Python and Java for backend services and APIs, and Angular for front-end user interfaces., • Hands-on experience with Model Context Protocol (MCP), including building or integrating MCP servers and tools., • Experience designing and working with relational and/or NoSQL databases, including schema design and query optimization.Preferred Qualifications, • Cloud, AI/ML, or software development certifications (e.g., advanced developer or solution architect credentials)., • Experience with OCR, NLP, computer vision, or generative AI/LLM integration., • Familiarity with cloud platforms (Azure, AWS, or GCP) and MLOps practices., • Knowledge of Agile delivery, CI/CD, and source control (e.g., Git)., • Understanding of data governance, security, and responsible AI practices. Benefits • Medical, • Dental, • Vision, • Basic Life, • Health Saving Account, • 401K Matching, • Three weeks of PTO/Sick, • 11 Paid Holidays, • Pre-Approved Online Training