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Southern New Hampshire University is a team of innovators. World changers. Individuals who believe in progress with purpose. Since 1932, our people-centered strategy has defined us - and helped us grow a team that now serves over 180,000 learners worldwide. Our mission to transform lives is made possible by talented people who bring diverse industry experience, backgrounds and skills to the university. And today, we're ready to expand our reach. All we need is you. Make an impact - from near or far At SNHU, you'll have the option to work remotely in the following states: Alabama, Arizona, Arkansas, Delaware, Florida, Georgia, Hawaii, Idaho, Indiana, Iowa, Kansas, Kentucky, Louisiana, Maine, Maryland, Massachusetts, Michigan, Mississippi, Missouri, Nebraska, New Hampshire, New Mexico, North Carolina, North Dakota, Ohio, Oklahoma, South Carolina, South Dakota, Tennessee, Texas, Utah, Vermont, Virginia, West Virginia, Wisconsin and Wyoming. We ask that our remote employees have access to a reliable internet connection and a dedicated, properly equipped workspace that is free of distractions. Employees must reside in, and work from, one of the above approved states. The opportunity The AI Architect will report to the Vice President of Technology and Business Enablement. In this role, you will be a business and expert who guides the design, implementation, and governance of AI-powered solutions across the university's digital ecosystem. You will align AI capabilities with institutional strategy, technology roadmaps, and business priorities. You'll serve as a trusted advisor and technical lead on AI use cases ranging from intelligent agents to workflow automation. You will guide the business throughout the onboarding and implementation of our multiple AI solutions. You'll guide through the discovery, design, and hands-on configuration of AI-powered features, ensuring that the maximum value from AI capabilities supports outcomes. You will also bridge the gap between Customer Success, Product, and Engineering teams, helping define how AI transforms collaboration at scale-across the SNHU's broader tech ecosystem. The AI Architect will orchestrate collaboration across business, data, application, and technology domains, using platforms such as Salesforce, ServiceNow, Workday, D2L, Banner, and O365. You will balance innovation with compliance, ensuring solutions are secure, ethical, and scalable, while delivering measurable business and student outcomes. You will work remotely from any of our approved states. #LI-Remote What You'll Do: • Partner with business and technology partners to identify AI opportunities that support student success, operational efficiency, and digital business models., • Align AI programs with enterprise strategies, roadmaps, and higher education best practices., • Provide guidance on how AI, ML, and automation will improve current and future-state architectures., • Define, design, and oversee AI architectures that integrate with core enterprise platforms (Salesforce, ServiceNow, Workday, D2L, Banner, O365)., • Collaborate with business architects, data architects, and developers to source, govern, and manage data for AI solutions., • Lead evaluation, selection, and implementation of AI/ML models, frameworks, and platforms., • Ensure architectures account for privacy, compliance (FERPA, HIPAA, GDPR), and security standards., • Establish MLOps practices, including CI/CD for AI models, automated testing, validation, and deployment., • Embed MCP (Model Control & Performance) practices: lifecycle management, retraining, drift detection, and decommissioning., • Oversee deployment, monitoring, and lifecycle management of AI solutions., • Contribute to enterprise AI governance frameworks, standards, and policies., • Establish metrics and monitoring approaches to track AI model performance, bias, and risk., • Implement adversarial AI defense and secure AI infrastructure (encryption-in-use, multi-tenant isolation)., • Ensure compliance with ethical AI practices, accessibility standards, and institutional values., • Promote AI capabilities across the institution; facilitate workshops, proofs-of-concept, and demos., • Provide consultative support to enterprise architects, application teams, and business leaders., • Mentor technical teams on AI patterns, frameworks, and best practices., • Enable multi-agent orchestration frameworks (LangChain, AutoGPT, RAG) and ensure agent interoperability across platforms, • Ability to translate institutional goals into AI solutions that deliver measurable outcomes., • Deep understanding of AI/ML architectures, data pipelines, integration, and governance., • Behavioral: Strong leadership, collaboration, and consultative skills with the ability to influence at all levels., • Personal: Technology-neutral mindset, intellectual curiosity, adaptability, and integrity. Strategic mindset with a bias toward experimentation, iteration, and learning, • 15+ years in the technology industry., • 8+ years of experience in IT architecture., • 3+ years in AI/ML solution design and delivery., • Experience integrating AI solutions with enterprise platforms (e.g. Salesforce, ServiceNow, Workday, D2L, Banner, or equivalent)., • Hands-on experience with AI/ML frameworks (TensorFlow, PyTorch), cloud platforms (Azure, AWS, GCP), and big data technologies., • Hands-on experience designing or implementing AI solutions, including working with LLMs, prompt engineering, and agent frameworks (e.g. AutoGPT, LangChain, RAG), • Experience with system integration, APIs, cloud services, and enterprise data management., • Experience with enterprise architecture frameworks (TOGAF, Zachman) and agile delivery. Compensation The annual pay range for this position is $137,839.00 - $220,582.00. Actual offer will be based on skills, qualifications, experience and internal equity, in addition to relevant business considerations. We expect this position to be hired in the following target hiring range $152,311.00 - $206,068.00. Exceptional benefits (because you're exceptional) You're the whole package. Your benefits should be, too. As a full-time employee at SNHU, you'll get: * High-quality, low-deductible medical insurance * Low to no-cost dental and vision plans * 5 weeks of paid time off (plus almost a dozen paid holidays) * Employer-funded retirement * Free tuition program * Parental leave * Mental health and wellbeing resources

Purpose As a foundational member of our AI Center of Excellence, you will serve as the data science lead for enterprise AI initiatives, architecting and deploying AI solutions that make a meaningful impact across our national retail footprint. The Data Scientist Lead will work with other members of the AI COE and business leadership to identify and execute the highest-impact initiatives, own the data science lifecycle, from hypothesis and feature engineering to model validation and performance monitoring; bridging the gap between cutting-edge AI capabilities and practical business applications. This role requires a rare blend of deep technical mastery and sharp business acumen, to translate complex data into actionable insights and intelligent systems that enhance customer experience, optimize commercial operations, and enable smarter decision-making at scale. The ideal candidate is passionate about retail innovation, thrives in ambiguity, and is energized by the opportunity to shape AI strategy from the ground up. You’ll Be Successful With • Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, or a related quantitative field. Master's degree preferred., • 5+ years in Data Science or Applied AI roles, preferably in retail or a customer-facing industry., • Proven track record of moving models from development into production which deliver measurable impact to the business., • Expert proficiency in Python and SQL. Comfortable with version control., • Expertise in supervised/unsupervised learning and modern frameworks (e.g. scikit-learn, PyTorch, or TensorFlow)., • Hands-on experience building with LLMs, RAG architectures, prompt engineering, or AI agent development., • Experience deploying and monitoring models at scale. Familiar with cloud data platforms (e.g. Databricks or Snowflake) and cloud infrastructure (Azure experience a plus)., • You understand how to apply AI to commercial problems such as demand forecasting, customer- and associate- facing applications, personalization, labor optimization, etc., • The ability to translate "black box" model outputs into clear, actionable insights for business leadership., • Proven ability to communicate complex technical concepts to non-technical stakeholders and influence decision-making through data-driven storytelling., • Strong intellectual curiosity with a bias toward action and continuous improvement., • Demonstrated ability to work autonomously while collaborating effectively within cross-functional teams. Your Day Consists Of • Buy vs Build leadership. Evaluate 3rd-party AI platforms and partnerships. Serve as the technical lead in vetting vendor methodologies, guiding the in-house vs external decisioning., • Partner with business leadership to identify high-value AI opportunities, defining technical specifications and success metrics that align with enterprise strategy., • Design, develop, and deploy custom machine learning models (impacting merchandising, commercial, labor, digital, etc.) within the Databricks environment., • Lead experimentation design, including A/B testing and causal inference, to validate model performance and measure true incremental business lift (ROI)., • Collaborate with data engineers on feature development and with AI developers to wrap models into production-grade APIs and applications., • Partner closely with the Customer Insights team to ensure model outputs are optimized for consumption within Power BI/DAX, turning complex predictions into actionable insights., • Establish and enforce MLOps standards across the org, including model versioning, automated retraining, and drift monitoring., • Serve as the primary ML subject matter expert for the broader Data Science & Insights team. Provide active coaching to analytics leaders, empowering them to identify ML-applicable use cases and effectively incorporate predictive outputs into their own functional workstreams., • Contribute to the enterprise AI governance framework, ensuring ethical AI practices, data privacy compliance, and model transparency., • Present findings, recommendations, and project updates to leadership and cross-functional partners in clear, compelling formats., • Be compliant with all appropriate privacy and security protocols. Working Conditions (travel, hours, environment) • Limited travel required including air and car travel, • While performing the duties of this job, the employee is occasionally exposed to a warehouse environment and moving vehicles. The noise level in the work environment is typically quiet to moderate. Physical/Sensory Requirements Sedentary Work – Ability to exert 10 - 20 pounds of force occasionally, and/or negligible amount of force frequently to lift, carry, push, pull or otherwise move objects. Sedentary work involves sitting most of the time but may involve walking or standing for brief periods of time. Benefits & Rewards • Bonus opportunities at every level, • Non-traditional retail hours (we close at 7p!), • Career advancement opportunities, • Relocation opportunities across the country, • 401k with discretionary company match, • Employee Stock Purchase Plan, • Referral Bonus Program, • 80 hrs. annualized paid vacation (full-time associates), • 4 paid holidays per year (full-time hourly store associates only), • 1 paid personal holiday of associate’s choice and Volunteer Time Off program, • Medical, Dental, Vision, Life and other Insurance Plans (subject to eligibility criteria) Equal Employment Opportunity Floor & Decor provides equal employment opportunities to all associates and applicants without regard to age, race, color, religion or creed, national origin or ancestry, sex (including pregnancy), sexual orientation, gender, gender identity, disability, veteran status, genetic information, ethnicity, citizenship, or any other category protected by law. This policy applies to all areas of employment, including recruitment, testing, screening, hiring, selection for training, upgrading, transfer, demotion, layoff, discipline, termination, compensation, benefits and all other privileges, terms and conditions of employment. This policy and the law prohibit employment discrimination against any associate or applicant on the basis of any legally protected status outlined above.

___Job ID292884 LocationAtlanta, Georgia Full/Part TimeFull-Time Regular/TemporaryRegular ______ Overview Georgia Tech prides itself on its technological resources, collaborations, high-quality student body, and its commitment to building an outstanding and diverse community of learning, discovery, and creation. We strongly encourage applicants whose values align with our institutional values, as outlined in our Strategic Plan. These values include academic excellence, diversity of thought and experience, inquiry and innovation, collaboration and community, and ethical behavior and stewardship. Georgia Tech has policies to promote a healthy work-life balance and is aware that attracting faculty may require meeting the needs of two careers. About Georgia Tech Georgia Tech is a top-ranked public research university situated in the heart of Atlanta, a diverse and vibrant city with numerous economic and cultural strengths. The Institute serves more than 45,000 students through top-ranked undergraduate, graduate, and executive programs in engineering, computing, science, business, design, and liberal arts. Georgia Tech's faculty attracted more than $1.4 billion in research awards this past year in fields ranging from biomedical technology to artificial intelligence, energy, sustainability, semiconductors, neuroscience, and national security. Georgia Tech ranks among the nation's top 20 universities for research and development spending and No. 1 among institutions without a medical school. Georgia Tech's Mission and Values Georgia Tech's mission is to develop leaders who advance technology and improve the human condition. The Institute has nine key values that are foundational to everything we do: 1. Students are our top priority., 2. We strive for excellence., 3. We thrive on diversity., 4. We celebrate collaboration., 5. We champion innovation., 6. We safeguard freedom of inquiry and expression., 7. We nurture the well-being of our community., 8. We act ethically., 9. We are responsible stewards. Over the next decade, Georgia Tech will become an example of inclusive innovation, a leading technological research university of unmatched scale, relentlessly committed to serving the public good; breaking new ground in addressing the biggest local, national, and global challenges and opportunities of our time; making technology broadly accessible; and developing exceptional, principled leaders from all backgrounds ready to produce novel ideas and create solutions with real human impact. Atlanta, GA About the School of Electrical and Computer Engineering (ECE) at the Georgia Institute of Technology The School of Electrical and Computer Engineering (ECE) at the Georgia Institute of Technology is one of the largest producers of electrical engineers and computer engineers in the United States. Almost 2,600 students are enrolled in the School's graduate and undergraduate programs, and in the last academic year, 801 degrees were awarded. All ECE undergraduate and graduate programs are in the top five of the most recent college rankings by U.S. News & World Report. In addition to the main campus in Atlanta, Georgia, ECE also has permanent operations at Georgia Tech-Lorraine in France. Graduate students who spend at least one semester each at of the Georgia Tech locations (Atlanta, Lorraine, on two continents, North America and Europe) can earn the Georgia Tech Global Engineering Immersion Program (GEIP) Certificate when they receive the Georgia Tech M.S. degree. Over 110 ECE faculty members are involved in 11 areas of research and education: bioengineering, computer systems and software, digital signal processing, electrical energy, electromagnetics, electronic design and applications, nanotechnology, optics and photonics, systems and controls, telecommunications, and VLSI systems and digital design: and the School is either home to or a key player in almost 20 research centers and consortia. ECE is key to Georgia Tech's growing reputation as an internationally recognized educational and research and development university. ECE is firmly committed to sustaining excellence in traditional areas of strength and venturing into burgeoning areas of opportunity. The Signal Lab in the School of Electrical and Computer Engineering at Georgia Tech is seeking a Research Scientist to lead and advance cutting-edge research in Artificial Intelligence. The role will involve laboratory management, project oversight, and business development activities to name a few. 1. Research Leadership in Foundation Models, World Models, and Frontier AI • Lead and execute advanced research programs in large-scale AI, including foundation model architectures, multimodal representation learning, world models, agentic systems, and self-supervised learning at scale., • Design and evaluate new training algorithms, model architectures, and scalable pipelines for language, vision, audio, robotics, simulation, and multi-agent environments., • Develop GPU-, TPU-, and cluster-optimized training frameworks, distributed training systems, and inference-time optimization pipelines for next-generation AI models., • Publish high-impact papers in top AI/ML venues, release open-source tools, and contribute to Georgia Tech's AI research leadership and national strategic priorities. 2. Lab Management and AI Compute Infrastructure Operations • Oversee daily operations of the AI research lab, including GPU clusters, high-performance storage, distributed training stacks, and data governance frameworks., • Manage, maintain, and expand high-performance compute infrastructure: multi-node GPU clusters, distributed data loaders, RL/simulation environments, and model evaluation frameworks., • Ensure safety, compliance, documentation, model governance, data integrity, and continuous uptime of compute and AI assets., • Build automated pipelines for model training, experiment reproducibility, dataset generation, benchmarking, and large-scale evaluation. 3. Affiliate Engagement, Business Development, and Partnerships • Engage, onboard, and support affiliate companies participating in the AI and foundation model research program., • Serve as a technical liaison for affiliates across AI labs, cloud providers, robotics companies, semiconductor partners, government agencies, and enterprise AI users., • Define joint research thrusts, scoping documents, datasets, deliverables, evaluation protocols, and IP structures for partner organizations., • Coordinate demos, campus visits, model showcases, and affiliate meetings to support collaboration and knowledge transfer. 4. Project Management and PhD Mentorship • Mentor PhD students, postdocs, and research engineers working on foundation models, world models, agentic systems, and large-scale representation learning., • Manage multi-PI, multi-institution, and affiliate-funded AI research efforts, ensuring timely execution, publications, deliverables, reporting, and stakeholder satisfaction. Bachelor's Degree in Electrical Engineering, Physics, or related area. Research Scientist/Engineer II • A Master's degree and three (3) years of relevant full-time experience after completion of that degree,, • A Master's degree and five (5) years of relevant full-time experience after completion of a Bachelor's degree, or, • A Master's degree and seven (7) years of relevant full-time experience after completion of that degree,, • A Master's degree and nine (9) years of relevant full-time experience after completion of a Bachelor's degree, or, • A Doctoral degree and four (4) years of relevant full-time experience after completion of a Bachelor's degree., • PhD in Computer Science, Electrical and Computer Engineering, Machine Learning, or a closely related field with emphasis on AI or large-scale model development., • Strong research record in foundation models, world models, representation learning, multimodal AI, distributed training, or agentic systems., • Hands-on experience with large-scale model training using GPUs/TPUs, distributed systems, deep learning frameworks (PyTorch, JAX, TensorFlow), and data pipelines., • Demonstrated experience mentoring students or leading technical AI teams. The University System of Georgia is comprised of our 26 institutions of higher education and learning as well as the System Office. Our USG Statement of Core Values are Integrity, Excellence, Accountability, and Respect. These values serve as the foundation for all that we do as an organization, and each USG community member is responsible for demonstrating and upholding these standards. More details on the USG Statement of Core Values and Code of Conduct are available in USG Board Policy 8.2.18.1.2 and can be found on-line at ___. Additionally, USG supports Freedom of Expression as stated in Board Policy 6.5 Freedom of Expression and Academic Freedom found on-line at ___. The Georgia Institute of Technology (Georgia Tech) is an Equal Employment Opportunity Employer. The Institute is committed to maintaining a fair and respectful environment for all. To that end, and in accordance with federal and state law, Board of Regents policy, and Institute policy, Georgia Tech provides equal opportunity to all faculty, staff, students, and all other members of the Georgia Tech community, including applicants for admission and/or employment, contractors, volunteers, and participants in institutional programs, activities, or services. Georgia Tech complies with all applicable laws and regulations governing equal opportunity in the workplace and in educational activities. Equal opportunity and decisions based on merit are fundamental values of the University System of Georgia ("USG") and Georgia Tech. Georgia Tech prohibits discrimination, including discriminatory harassment, on the basis of an individual's race, ethnicity, ancestry, color, religion, sex (including pregnancy), national origin, age, disability, genetics, or veteran status in its programs, activities, employment, and admissions. Further, Georgia Tech prohibits citizenship status, immigration status, and national origin discrimination in hiring, firing, and recruitment, except where such restrictions are required in order to comply with law, regulation, executive order, or Attorney General directive, or where they are required by Federal, State, or local government contract. This is not a supervisory position. This position does not have any financial responsibilities. This position will not be required to drive. This role is not considered a position of trust. This position does not require a purchasing card (P-Card). This position will not travel This position does not require security clearance. Successful candidate must be able to pass a background check. Please visit ___

Job Description: The Sr. Staff Engineer, AI will lead the architecture, delivery, and continuous improvement of agentic AI systems across multiple healthcare domains. This role will own complex initiatives end-to-end-setting technical direction, establishing quality and safety bars, and mentoring engineers-while ensuring solutions are compliant, reliable, and cost-efficient at scale. The Engineer will collaborate with cross-functional teams-including product managers, data engineers, and clinical experts-to develop solutions that are HIPAA/HITECH compliant, clinically relevant, and technically robust. • Architect, engineer, and deploy multi-agent ecosystems (MCP/A2A/ACP) with clear boundaries, contracts, and observability-covering planning, tool-use, retrieval, and safety rails., • Drive model selection, fine-tuning, evaluation design, red-teaming, and continuous feedback loops; codify standards for RAG, prompt governance, and context management., • Use agentic frameworks (e.g., LangChain/LangGraph) to design modular, scalable agent architectures., • Scale and harden production deployments with monitoring, drift detection, prompt/version control, A/B/ABn frameworks, cost/perf segmentation, and rollback playbooks., • Partner with product/clinical leaders to define multi-quarter roadmaps and success metrics; translate clinical workflows into agent capabilities., • Mentor & elevate the team: code reviews, design docs, internal talks, and guiding other engineers., • Perform other duties that support the overall objective of the position., • Bachelor's degree (or higher) in Computer Science, Data Science, Artificial Intelligence, or a related field., • Or, any combination of education and experience which would provide the required qualifications for the position., • 8-12 years as a Data Scientist/AI Engineer with experience leading complex, cross-team projects to production., • Deep expertise with Python and ML frameworks (PyTorch/TensorFlow) and agentic stacks (LangChain/LangGraph) with proven experience implementing RAG at scale and fine-tuning models., • Demonstrated experience in safety, reliability, and cost governance for GenAI systems., • Knowledge of:Generative AI frameworks and architectures (Transformers, LLMs, diffusion models). Machine learning frameworks (PyTorch, TensorFlow, Scikit-learn). Healthcare data formats, privacy requirements (HIPAA), and integration challenges. Voice recognition and transcription technologies (preferred)., • Skill in:Programming in Python (preferred) or similar languages. Designing modular, scalable AI agent architectures. Prompt engineering, retrieval-augmented generation (RAG), and model context optimization. Problem-solving and analytical thinking., • Ability to:Rapidly prototype and iterate on AI agent designs. Collaborate effectively across technical and clinical teams. Adapt in a fast-paced, mission-driven environment. Communicate technical concepts to non-technical stakeholders. NextGen Healthcare is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Job Description: The Data Scientist will contribute to the development of AI and Generative AI (GenAI) models and workflows tailored for the healthcare domain. This role will work on building solutions that address real-world challenges. This role offers an exciting opportunity to apply knowledge of GenAI, machine learning, and healthcare-specific requirements while collaborating with a multidisciplinary team of experts. • Develop workflows to enhance the efficiency and accuracy of note-taking in healthcare settings., • Collaborate with data engineers, product teams, and clinical experts to ensure solutions align with healthcare workflows and standards., • Address healthcare-specific challenges such as HIPAA compliance, medical terminology integration, and adherence to standards like ICD, CPT, and HL7/FHIR., • Stay updated with the latest advancements in GenAI, NLP, computer vision, and healthcare AI technologies., • Perform other duties that support the overall objective of the position., • Bachelor's degree (or higher) in Computer Science, Data Science, Artificial Intelligence, or a related field., • Or, any combination of education and experience which would provide the required qualifications for the position., • Experience working with multiple GenAI models, including open-source., • Experience with natural language processing (NLP) and computer vision techniques., • Experience in data preprocessing and model deployment., • Knowledge of:Strong foundational knowledge of generative AI techniques and frameworks (e.g., Transformers, GPT, diffusion models). Proficiency in machine learning tools and frameworks such as TensorFlow, PyTorch, or Scikit-learn. Familiarity with healthcare data structures, workflows, and challenges (e.g., EMR/EHR integration, ICD/CPT coding, HL7/FHIR). Knowledge of voice recognition and transcription technologies is a plus., • Skill in:Strong programming skills in Python or similar languages. Strong problem-solving skills and a growth mindset., • Ability to:Eagerness to learn and adapt in a fast-paced, mission-driven environment. NextGen Healthcare is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Job Description Are you passionate about applying machine learning to transform the future of RF hardware? At Falcomm, we are revolutionizing wireless communications by integrating AI-driven solutions into the design of our energy-efficient Power Amplifier (PA) products. We are seeking a full-time AI/CAD Software Engineer to join our team. You will lead the development of intelligent tools that enhance RF workflows, automate complex EM simulations, and accelerate the tape-out of high-performance PAs. This role sits at the intersection of software engineering, machine learning, and RF physics, perfect for a developer who wants to get close to the hardware. Responsibilities: • End-to-End ML Pipeline Development: Architect and maintain robust code for training and serving ML models that predict and optimize RF performance metrics., • PA Design Automation: Automate the creation and management of large-scale datasets derived from PA load-pull and electromagnetic (EM) simulations., • Tool Integration: Seamlessly integrate ML inference engines into existing RF EDA infrastructure to provide real-time feedback to PA designers., • Software Engineering Excellence: Establish best practices including comprehensive testing, CI/CD pipelines, and code reviews within an agile hardware team., • Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, or a related field., • 2+ years of professional experience in software engineering or machine learning., • Proficiency in Python: Advanced scripting, object-oriented programming, and automation skills., • ML Framework Expertise: Experience building models using PyTorch, TensorFlow, or scikit-learn., • Data Engineering: Strong grasp of data processing libraries (pandas, numpy, scipy) and file I/O operations., • RF & PA Domain Knowledge: Experience with Power Amplifier design,, • RF front-end architectures, or a strong understanding of RF metrics (PAE,, • Gain, ACLR, EVM)., • RF/EM Simulation Tools: Hands-on experience with Cadence Virtuoso,, • Ansys HFSS, or Keysight ADS., • Open Source Innovation: Experience utilizing or contributing to open-, • source RF/EDA alternatives (e.g., gdsfactory, KLayout, Qucs, openEMS)., • Simulation Scripting: Familiarity with automating RF simulations via, • SKILL, AEL, or Python APIs., • Physics-Informed ML: Interest or experience in applying ML to physics-, • Competitive Salary and Equity Package, • Comprehensive Health, Dental, and Vision Insurance, • 401(k) Retirement Plan, • Paid Time Off (PTO) and Sick Leave DISCLOSURE • Falcomm is an Equal Opportunity Employer; employment with Falcomm is governed on the basis of merit, competence and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability or any other legally protected status., • Applicants wishing to view a copy of Falcomm’s Affirmative Action Plan for veterans and individuals with disabilities, or applicants requiring reasonable accommodation to the application/interview process should notify Falcomm., • To conform to U.S. Government export regulations, including the International Traffic in Arms Regulations (ITAR) you must be a U.S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State.

Job DescriptionPlans and schedules team resources, status reporting and completion of required documentation for team assignment and projects. Analyzes and develops work or project plans for team assignments. Analyzes and implements solutions. Supervises subordinates. * JOB SUMMARY: The Senior Cloud and AI Architect is an experienced, advanced-level professional responsible for creating the design and implementation of secure, scalable, and ethical AI solutions to support government and public service missions. This role combines deep AI/ML expertise with architectural leadership to modernize public sector operations, improve citizen engagement, and drive data-informed decision-making — all while maintaining compliance, transparency, and trust. This position requires advanced skills in multiple areas of architecture, with expert or specialized knowledge in cloud platforms and AI. The architect will communicate with stakeholders at all levels, support multiple teams and projects, and mentor other architects. A key responsibility is to work with GTA to design, develop, and implement IT architecture, AWS cloud implementations, and advanced AI/ML solutions across State Agencies. CORE QUALIFICATIONS: 10+ years of overall experience, including a minimum of 5 years of enterprise, full-life cycle architecture experience in the professional IT/Software Development services industry. 5-8 years of hands-on technical application architecture experience, including application build and modernization. Extensive experience architecting, designing, and programming applications to operate in AWS environments. Experience in developing solutions architecture and evaluating architectural alternatives for private, public, and hybrid cloud models (IaaS, PaaS, and other cloud services). Proven experience in designing and implementing secure, scalable, and ethical AI/ML solutions, leveraging public cloud or hybrid environments. Strong technical expertise in machine learning, deep learning, and natural language processing. Evaluate and recommend AI platforms, frameworks, and tools (e.g., Azure ML, AWS SageMaker, Google Vertex AI, PyTorch). Design secure and compliant AI/ML solutions leveraging public cloud or hybrid environments. . AGENCY SPECIFIC QUALIFICATIONS: Minimum Qualifications: Must meet one of the following requirements: Bachelor's degree in Information Technology, Computer Science, Data Science, or an equivalent work experience. At least 5 years of progressive experience with the concepts, philosophies, and tools behind the design of applications, solution architecture, and underlying information technologies on AWS/Public Cloud and AI/ML platforms. Preferred Qualifications: (Preference will be given to candidates who demonstrate some or all of the following skills/experience): AWS Certified Solutions Architect. Experience with state and local Government is a plus. Enterprise-wide integration experience for both cloud and AI solutions. Experience with cutting-edge AI technologies in developing chatbots and generative AI (GenAI) and LLM deployment for public sector use cases. Knowledge of integration standards and best practices for cloud and AI systems. Understanding of public sector security and compliance standards (e.g., FedRAMP, FISMA, NIST AI RMF, NIST 800-53). Experience with AI ethics, bias mitigation, and responsible AI frameworks. Prior work with federal, state, or municipal digital transformation programs. Certification in cloud architecture or AI specialties (AWS, Azure, or GCP). Required/Desired SkillsSkillRequired /DesiredAmountof ExperienceBachelor's degree in information technology, Computer Science, Data Science, or an equivalent work experience.Required0Experience with the concepts, philosophies, and tools behind the design of applications, solution architecture, and underlying information technologiesRequired5YearsEnterprise, full-life cycle architecture experience in the professional IT/Software Development services industry.Required5YearsHands-on technical application architecture experience, including application build and modernization.Required5YearsAWS Certified Solutions Architect (PLS UPLOAD CERTIFICATION)Highly desired0Experience with state and local Government is a plus.Highly desired0Experience with cutting-edge AI technologies in developing chatbots and generative AI (GenAI) and LLM deployment for public sector use cases.Highly desired0Experience with AI ethics, bias mitigation, and responsible AI frameworksHighly desired0Certification in cloud architecture or AI specialties (AWS, Azure, or GCP). (PLS UPLOAD CERTIFICATION)Highly desired0QuestionsNo.QuestionQuestion1Absences greater than two weeks MUST be approved by CAI management in advance, and contact information must be provided to CAI so that the resource can be reached during his or her absence. The Client has the right to dismiss the resource if he or she does not return to work by the agreed upon date. Do you agree to this requirement?Question2What is your candidate's email address?Question3If selected for engagement, your candidate's hourly Pay Rate must be at least $74.51? Your candidate can be paid more; however, the hourly SRP Rate cannot exceed $100.58? Do you agree to these requirements?Question4The maximum mark-up for this engagement’s SRP rate is 35%. To be competitive on pricing, a mark-up below the 35% threshold is suggested. Do you agree to propose a mark-up at or below 35%?Question5This assignment is contingent upon customer renewal and availability of adequate funding. Do you agree to this requirement?Question6If selected for engagement, your candidate will be expected to start no later than 2 weeks (10 business days) after the client's selection date? Do you agree to this requirement?Question7HYBRID work option: However, the selected candidate must be available to report onsite as directed by the client. Do you accept this requirement?Question8Candidates MUST be local to Atlanta to begin and continue this assignment. Do you and your candidate accept this requirement?Question9List the City and State where your candidate currently resides.

Job DescriptionAbout GBG Enabling safe and rewarding digital lives for genuine people, everywhere We make it our mission to ensure more genuine people have digital access to opportunities, and businesses have access to more genuine people. Our technology draws on diverse and reliable data to create a single point of truth for identity and address verification. With over 30 years of experience behind us our team and technology are focused on enabling safe and rewarding digital lives for everyone. Regardless of age, location or background, genuine people everywhere should be able to digitally prove who they are and where they live. About the team and roleCVML Teams At the heart of GBG's Documents and Biometrics portfolio, our team focuses on creating unique and powerful artificial intelligence models. These models are designed to revolutionize KYC verification for our customers. We drive the development of these cutting-edge technologies, aiming to provide unparalleled solutions for document verification and digital trust. Collaboration is our cornerstone as we bring together diverse expertise to achieve collective success. Guided by Agile methodology, our daily operations focus on efficiency through automation. Senior Machine Learning Engineer The Senior Machine Learning Engineer is a senior individual contributor responsible for designing, developing, deploying, and continuously improving machine learning and computer vision models that power production‑grade systems. This role combines strong hands‑on technical execution with mentorship, collaboration, and data‑driven problem solving. Operating within an Agile environment, the Senior ML Engineer works closely with the machine learning team and cross‑functional partners to translate product requirements into robust ML solutions. The role requires deep expertise in modern ML and computer vision techniques, experience operating models in production, and the ability to guide junior engineers through the full ML lifecycle while driving measurable improvements in model performance and product quality. What you will do Technical Development & Innovation • Design, implement, and optimize state‑of‑the‑art machine learning and computer vision models to enhance product capabilities., • Research, evaluate, and apply modern architectures and techniques, including CNNs, transformers, and vision‑language models., • Implement and benchmark newly developed algorithms on large‑scale datasets, validating both accuracy and throughput., • Define, implement, and monitor appropriate evaluation metrics (e.g., precision, recall, ROC‑AUC, confusion matrices)., • Analyze training, test, and production data using statistical and visual techniques to identify performance gaps and reliability risks., • Support end‑to‑end ML workflows, including data preparation, training, deployment, monitoring, and iterative improvement., • Contribute to CI/CD pipelines and production monitoring to ensure reliable, reproducible, and scalable model delivery., • Mentor and support junior CVML engineers across all phases of ML projects, including planning, data collection, annotation, training, deployment, and iteration., • Participate in design reviews, technical discussions, and knowledge‑sharing initiatives to raise overall team capability., • Proactively suggest improvements to existing models, workflows, tools, and product features., • Collaborate effectively with engineering, product, and data stakeholders to deliver high‑impact ML solutions., • Maintain awareness of emerging ML and computer vision trends and assess their applicability to real‑world problems. Skills we're looking for • Bachelor’s degree or higher in Computer Science, Electrical Engineering, or a related field or equivalent experience, • Strong hands‑on experience developing and deploying machine learning models in production environments., • Advanced understanding of supervised, unsupervised, and semi‑supervised learning techniques., • Expertise in classification, regression, clustering, and anomaly detection., • Solid experience with convolutional neural networks, recurrent neural networks, and transformer‑based models., • Strong proficiency in Python (C++ is a plus) and PyTorch (TensorFlow is a plus), • Hands-on experience with modern neural network architectures and loss functions across tasks such as object detection, image segmentation, and representation learning., • Experience using computer vision and scientific computing libraries such as OpenCV., • Familiarity with model deployment, monitoring, and CI/CD workflows., • Beneficial to have experience working with large‑scale datasets and performance‑critical ML systems., • Prior experience mentoring or technically guiding other ML engineers., • Beneficial to have exposure to production MLOps practices and model lifecycle management., • Able to balances research‑driven exploration with pragmatic, production‑focused execution. To find out more As an equal opportunity employer, we are dedicated to creating a diverse and inclusive workplace where everyone feels valued and empowered. Please inform your GBG Talent Attraction Partner if you require any reasonable adjustments to the interview process. To chat to the Talent Attraction team and find out more about our benefits and why we’re a great place to work, drop an email to and we’ll be in touch. You can also find out more about careers at GBG and check out our current opportunities at gbgplc.com/careers. Unleash your potential and be part of our mission to power safe and rewarding digital lives.

Job DescriptionCompany Description When you join Turnitin, you'll be welcomed into a company that is a recognized innovator in the global education space. For over 25 years, Turnitin has partnered with educational institutions to promote honesty, consistency, and fairness across all subject areas and assessment types. Over 21,000 academic institutions, publishers, and corporations use our services: Feedback Studio, Originality, Gradescope, ExamSoft, Similarity, and iThenticate. Experience a remote-centric culture that empowers you to work with purpose and accountability in a way that best suits you, supported by a comprehensive package that prioritizes your overall well-being. Our diverse community of colleagues are all unified by a shared desire to make a difference in education. Turnitin is a global organization with team members in over 35 countries including the United States, Mexico, United Kingdom, Australia, Japan, India, and the Philippines. Turnitin, LLC is an equal opportunity employer- vets/disabled. Job Description Turnitin is a recognized innovator in the global education space. For more than 20 years, Turnitin has partnered with educational institutions to promote honesty, consistency, and fairness across all subject areas and assessment types. Over 16,000 academic institutions, publishers, and corporations use our products and services. At Turnitin, working remotely is our default. We respect local cultures, embrace diversity, and we respect personal choice. Turnitin is headquartered in Oakland, with offices in Dallas, Pittsburgh, Newcastle (UK), Stockholm (Sweden), Cologne (Germany), Amsterdam (Netherlands). Our diverse community of colleagues is unified by a shared desire to make a difference in education. Our remote-first culture allows for every employee to get the same access to learning and career opportunities, and it enables us to think differently about where and how we recruit talent from all kinds of diverse backgrounds. Machine Learning is integral to the continued success of our company. Our product roadmap is exciting and ambitious. You will join a global team of curious, helpful, and independent scientists and engineers, united by a commitment to deliver cutting-edge, well-engineered Machine Learning systems. You will work closely with product and engineering teams across Turnitin to integrate Machine Learning into a broad suite of learning, teaching and integrity products. We are in a unique position to deliver Machine Learning used by hundreds of thousands of instructors teaching millions of students around the world. Your contributions will have global reach and scale. Billions of papers have been submitted to the Turnitin platform, and hundreds of millions of answers have been graded on the Gradescope and Examsoft platforms. Machine Learning powers our AI Writing detection system, gives automated feedback on student writing, investigates authorship of student writing, revolutionizes the creation and grading of assessments, and plays a critical role in many back-end processes. Responsibilities and Requirements: We expect Senior Machine Learning Scientists to be versatile and have a well-balanced set of skills. You will focus on model training and maintenance with significant capacity for research (developing novel model architectures), dataset construction, and model hardening (preparing the model and code for production pipelines). Day-to-day, your responsibilities are to: • Work with subject matter experts and product owners to determine what questions should be asked and what questions can be answered., • Work with subject matter experts to curate, generate, and annotate data, and create optimal datasets following responsible data collection and model maintenance practices., • Answer questions and make trainable datasets from raw data, using efficient SQL queries and scripting languages, visualizing when necessary., • Develop and tune Machine Learning models, following best practices to select datasets, architectures, and model parameters., • Utilize, adopt, and fine-tune Language Models, including third-party LLMs (through prompt engineering and orchestration) and locally hosted LMs., • Stay current in the field - read research papers, experiment with new architectures and LLMs, and share your findings., • Optimize models for scaled production usage., • Communicate insights, as well as the behavior and limitations of models, to peers, subject matter experts, and product owners., • Write clean, efficient, and modular code, with automated tests and appropriate documentation., • Stay up to date with technology, make good technological choices, and be able to explain them to the organization.Qualifications Required Qualifications: • Experience working with text data to build Deep Learning and ML models, both supervised and unsupervised. Experience with deep learning in other modalities such as vision and speech would be a strong bonus., • A strong understanding of the math and theory behind machine learning and deep learning., • Software engineering background with at least 8 years of experience (we use Python, SQL, Unix-based systems, git, and github for collaboration and review)., • Machine / Deep Learning development skills, including experiment tracking (we use AWS SageMaker, Hugging Face, transformers, PyTorch, scikit-learn, Jupyter, Weights & Biases)., • An understanding of Language Models, using and training / fine-tuning and a familiarity with industry-standard LM families., • Master's degree or PhD in Computer Science, Electrical Engineering, AI, Machine Learning, applied math or related field, with relevant industry experience, or outstanding previous achievements in this role. A Computer Science background is required as opposed to statistics or pure mathematics. We’re an applied science group leaning towards deep learning and therefore software development proficiency is a prerequisite., • Excellent communication and teamwork skills., • Familiarity in coding for at-scale production, ranging from best practices to building back-end API services or stand-alone libraries., • Essential dev-ops skills (we use Docker, AWS EC2/Batch/Lambda)., • Familiarity in building front-ends (LLMs or more standard React, Javascript, Flask) for simple demos, POCs and prototypes., • Experience with advanced prompting, fine-tuning or training an LLM, open-source or cloud, using industry accepted platforms (such as mosaic.ai or stochastic.ai)., • Showcase previous work (e.g. via a website, presentation, open source code). Additional Information The expected annual base salary range for this position is: $112,125/year to $186,875/year. This position is bonus eligible / commission-based. As a Remote-First company, actual compensation will be provided in writing at the time of offer, if extended, and is determined by work location and a range of other relevant factors, including but not limited to: experience, skills, degrees, licensures, certifications, and other job-related factors. Internal equity, market and organizational factors are also considered. Total Rewards @ Turnitin Turnitin maintains a Total Rewards package that is competitive within the local job market. People tend to think about their Total Rewards monetarily — solely as regular pay plus bonus or commission. This is what they earn in exchange for what they do. However, Turnitin delivers more than just these components. Beyond the intrinsic rewards of unleashing your potential to positively impact global education, and thriving in an organization that is free of politics and full of humble, inclusive and collaborative teammates, the extrinsic rewards at Turnitin include generous time off and health and wellness programs that offer choice and flexibility and provide a safety net for the challenges that life presents from time to time. Experience a remote-centric culture that empowers you to work with purpose and accountability in a way that best suits you, supported by a comprehensive package that prioritizes your overall well-being. Our Mission is to ensure the integrity of global education and meaningfully improve learning outcomes. Our Values underpin everything we do. • Customer Centric - We realize our mission to ensure integrity and improve learning outcomes by putting educators and learners at the center of everything we do., • Passion for Learning - We seek out teammates that are constantly learning and growing and build a workplace which enables them to do so., • Integrity - We believe integrity is the heartbeat of Turnitin. It shapes our products, the way we treat each other, and how we work with our customers and vendors., • Action & Ownership - We have a bias toward action and empower teammates to make decisions., • One Team - We strive to break down silos, collaborate effectively, and celebrate each other’s successes., • Remote First Culture, • Health Care Coverage*, • Education Reimbursement*, • Competitive Paid Time Off, • 4 Self-Care Days per year, • National Holidays*, • 2 Founder Days + Juneteenth Observed, • Paid Volunteer Time*, • Charitable contribution match*, • Monthly Wellness or Home Office Reimbursement*, • Access to Modern Health (mental health platform), • Parental Leave*, • Retirement Plan with match/contribution*, • varies by country Seeing Beyond the Job Ad At Turnitin, we recognize it’s unrealistic for candidates to fulfill 100% of the criteria in a job ad. We encourage you to apply if you meet the majority of the requirements because we know that skills evolve over time. If you’re willing to learn and evolve alongside us, join our team! Turnitin, LLC is committed to the policy that all persons have equal access to its programs, facilities and employment. 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.

Job DescriptionCompany Description When you join Turnitin, you'll be welcomed into a company that is a recognized innovator in the global education space. For more than 25 years, Turnitin has partnered with educational institutions to promote honesty, consistency, and fairness across all subject areas and assessment types. Turnitin products are used by educational institutions and certification and licensing programs to uphold integrity and increase learning performance, and by students and professionals to do their best, original work. Experience a remote-first culture that empowers you to work with purpose and accountability in a way that best suits you, supported by a comprehensive package that prioritizes your overall well-being. Our diverse community of colleagues are all unified by a shared desire to make a difference in education. Turnitin is a global organization with team members in over 35 countries including the United States, Mexico, United Kingdom, Australia, Japan, India, and the Philippines. Job Description Machine Learning is integral to the continued success of our company. Our product roadmap is exciting and ambitious. You will join a global team of curious, helpful, and independent scientists and engineers, united by a commitment to deliver cutting-edge, well-engineered Machine Learning systems. You will work closely with product and engineering teams across Turnitin to integrate Machine Learning into a broad suite of learning, teaching and integrity products. We are in a unique position to deliver Machine Learning used by hundreds of thousands of instructors teaching millions of students around the world. Your contributions will have global reach and scale. Billions of papers have been submitted to the Turnitin platform, and hundreds of millions of answers have been graded on the Gradescope and Examsoft platforms. Machine Learning powers our AI Writing detection system, gives automated feedback on student writing, investigates authorship of student writing, revolutionizes the creation and grading of assessments, and plays a critical role in many back-end processes. Responsibilities and Requirements We’re an applied science group leaning towards modern Deep Learning. We expect our Senior Machine Learning Scientists to have a well-balanced set of skills, both in the Science as well as Software Engineering aspects of (Deep) Machine Learning. You will focus on developing novel and deployable ML models and solutions where no ready-made solution may be available. Therefore you need to be conversant enough with the mathematics of machine learning and deep neural networks such that you can construct novel model architectures, loss functions, training methods, training loops etc. You are also expected to keep abreast of the latest research advancements in AI and Deep Learning across modalities and apply those to your work. While we leverage ready-made training platforms, we also write our own training loops. Additionally, the models need to be directly deployable in our products, therefore, production level coding and software engineering proficiency is required. You may train large models (up to 100s of billions of parameters) therefore, ability to train on multiple GPUs and nodes and knowledge of the latest model training and inferencing advancements is necessary. Next, the models must perform well in production not only in terms of accuracy but also compute-cost. Delivering such software requires a sufficiently deep Computer Science background. Dataset exploration, generation (synthetic), design, construction and analysis, are a routine part of the job and may occupy a significant fraction of your time. Also, datasets can be large (billions of samples), therefore the ability to write parallel and efficient pipelines is a necessary skill. You will also be involved in developing and staging demos and presenting your work within the company as well as via publications in peer reviewed venues (preferably A/A+ rated). Day-to-day, your responsibilities are to: • Research and develop Machine Learning models as described above. Optimize models for scaled production usage., • Work with colleagues in the AI team, other Engineering teams, subject matter experts, Product Management, Marketing, Sales and Customer support to explore ongoing product issues, challenges and opportunities and then recommend innovative ML/AI based solutions., • Help out with ad-hoc one-off tasks as a team player within the AI team., • Work with subject matter experts to curate and generate optimal datasets following responsible data collection and model maintenance practices. Explore and access local datastores as well as web data and write efficient parallel pipelines. Review and design datasets to ensure data quality., • Investigate weaknesses of models in production and work on pragmatic solutions., • Modify and fine-tune off the shelf models or develop novel models. Use LLMs via API (through prompt engineering and agents) and locally hosted LLMs and other foundation models., • Stay current in the field - read research papers, experiment with new architectures and methods, and share your findings., • Write clean, efficient, and modular code with automated tests and appropriate documentation., • Stay up to date with technology and platforms, make good technological choices, and be able to explain them to the organization., • Work with downstream teams to productionize your work and ensure that it makes into a product release., • Communicate insights, as well as the behavior and limitations of models, to peers, subject matter experts, and product owners., • Present and publish your work.Qualifications, • Master's degree or PhD in Computer Science, Electrical Engineering, AI, Machine Learning, applied math or related field or outstanding previous achievements demonstrating excellence in Deep Machine Learning, Computer Science and Software Engineering., • At least 10 years of industry experience in Machine / Deep Learning (we use the python ecosystem for ML), Computer Science and Software Engineering., • A strong understanding of the math and theory behind machine learning and deep learning is a prerequisite., • Academic publications in peer reviewed conferences or journals related to Machine Learning - preferably A/A+ rated such as NeurIPS, ICML, ICLR, AAAI, TMLR, JMLR, IJCAI, ICANN, KDD, ACL, EMNLP, NAACL, COLING, CVPR, ICCV, ECCV, IEEE etc., • Machine / Deep Learning development skills, including popular platforms (we use AWS SageMaker, Hugging Face, Transformers, PyTorch, PyTorch Lightning, Ray, scikit-learn, Jupyter, Weights & Biases etc.)., • An understanding of Language Models, using and training / fine-tuning and a familiarity with industry-standard LM families., • Excellent communication and teamwork skills., • We’re an applied science group (vs fundamental research), therefore Software development proficiency is a requirement., • Experience working with text data to build Deep Learning and ML models, both supervised and unsupervised. Experience with deep learning in other modalities such as vision and speech would be a strong bonus., • A Computer Science educational background is preferred as opposed to statistics or pure mathematics., • Reinforcement learning., • Interpretability of deep neural networks., • Experience with advanced prompting / agentic-systems and fine-tuning or training an LLM, using industry accepted platforms., • Showcase previous work (e.g. via a website, presentation, open source code)., • Familiarity in building front-ends (Gradio, Streamlit, Dash or more standard React, Javascript, Flask) for simple demos, POCs and prototypes., • Essential dev-ops skills (we use Docker, AWS EC2/Batch/Lambda)., • Familiarity in coding for at-scale production. Additional Information The expected annual base salary range for this position is: $147,300/year to $245,000/year. This position is bonus eligible / commission-based. Actual compensation will be provided in writing at the time of offer, if extended, and is determined by work location and a range of other relevant factors, including but not limited to: experience, skills, degrees, licensures, certifications, and other job-related factors. Internal equity, market and organizational factors are also considered. Total Rewards @ Turnitin At Turnitin, we believe Total Rewards go far beyond pay. While salary, bonus, or commission are important, they’re only part of the value you receive in exchange for your work. Beyond compensation, you’ll experience the intrinsic rewards of unleashing your potential and making a positive impact on global education. You’ll also thrive in a culture free of politics, surrounded by humble, inclusive, and collaborative teammates. In addition, our extrinsic rewards include generous time off and health and wellness programs that provide choice, flexibility, and a safety net for life’s challenges. You’ll also enjoy a remote-first culture that empowers you to work with purpose and accountability in the way that suits you best, all supported by a comprehensive package that prioritizes your overall well-being. Our Mission is to ensure the integrity of global education and meaningfully improve learning outcomes. Our Values underpin everything we do. • Customer Centric: Our mission is focused on improving learning outcomes; we do this by putting educators and learners at the center of everything we do., • Passion for Learning: We are committed to our own learning and growth internally. And we support education and learning around the globe., • Integrity: Integrity is the heartbeat of Turnitin—it is the core of our products, the way we treat each other, and how we work with our customers and vendors., • Action & Ownership: We have a bias for action. We act like owners. We are willing to change even when it’s hard., • One Team: We strive to break down silos, collaborate effectively, and celebrate each others' successes., • Remote First Culture, • Health Care Coverage, • Education Reimbursement*Competitive Paid Time Off, • Self-Care Days, • National Holidays, • 2 Founder Days + Juneteenth Observed, • Paid Volunteer Time Off, • Charitable Contribution Match, • Monthly Wellness or Home Office Reimbursement, • Access to Employee Assistance Program (mental health platform), • Parental Leave Turnitin, LLC is an Equal Opportunity Employer- vets/disabled.

Job DescriptionThis position will help advance the Data Management and Data Analytics strategy by increasing our capabilities to deliver rapidly, efficiently while providing excellent value for the organization. The ML Engineer will work with stakeholders – both business and IT to be responsible for designing, developing, and implementing machine learning models and algorithms to solve complex problems and enhance our products and services. Your expertise will be critical in driving innovation and improving user experiences. Job Responsibilities: • Model Development: Collaborate with cross-functional teams to identify and understand business challenges and translate them into machine learning tasks. Design, build, and optimize machine learning models and algorithms for various applications., • Data Processing: Work with large datasets, cleaning and preprocessing them for model training and validation. Ensure data quality and integrity to enable accurate model predictions., • Environment Setup: Set up and maintain machine learning environments, including frameworks such as TensorFlow, PyTorch, or Scikit-learn, and cloud-based platforms like Azure., • Model Training and Evaluation: Implement machine learning experiments and conduct rigorous testing and evaluation to measure model performance and identify opportunities for improvement., • Deployment and Integration: Collaborate with software engineers to deploy machine learning models into production environments and integrate them with existing systems., • Continuous Improvement: Stay up-to-date with the latest developments in the field of machine learning, and explore new methodologies and technologies to enhance our solutions., • Documentation and Communication: Document your work thoroughly, including model architectures, methodologies, and results. Present findings and insights to stakeholders in a clear and understandable manner. Technical Requirements: • Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related field., • Proven experience in developing and deploying machine learning models and algorithms., • Strong proficiency in Python and popular machine learning libraries (e.g., TensorFlow, PyTorch, Scikit-learn)., • Familiarity with cloud-based platforms for model deployment and management (e.g., AWS, GCP, Azure)., • Solid understanding of data preprocessing, feature engineering, and model evaluation techniques., • Ability to work effectively in a collaborative, cross-functional team environment., • Strong problem-solving skills and a passion for tackling complex challenges., • Excellent communication and presentation skills. Preferred Qualifications: • Experience with big data technologies such as Hadoop, Spark, or similar., • Knowledge of deep learning architectures and techniques., • Previous experience in natural language processing (NLP) or computer vision projects., • Understanding of version control systems like Git.

Job Description Job Description: 4P Consulting Inc. is seeking a highly skilled Data Scientist to join our team. As a Data Scientist, you will leverage your expertise in data analysis and machine learning to extract valuable insights, solve complex problems, and support data-driven decisions. You will work with large datasets to drive innovation and help organizations improve performance across a variety of industries, including finance, healthcare, and technology. Key Responsibilities: • Data Collection: Gather and collect large datasets from multiple sources, including APIs, databases, and external providers., • Data Cleaning: Preprocess and clean data to ensure consistency, address missing values, and remove outliers., • Exploratory Data Analysis (EDA): Conduct in-depth analysis to understand data characteristics and patterns., • Feature Engineering: Develop features from raw data to enhance machine learning models., • Machine Learning Modeling: Implement and develop machine learning models for business problems, including classification, regression, clustering, and recommendations., • Model Evaluation: Assess and fine-tune models using relevant evaluation metrics for optimal performance., • Data Visualization: Create clear, insightful visualizations and reports to present findings to non-technical stakeholders., • Predictive Analytics: Utilize statistical and machine learning techniques to predict trends and future outcomes., • Statistical Analysis: Apply statistical methods to test hypotheses and analyze data., • A/B Testing: Design and execute A/B tests to evaluate changes and improvements., • Data Integration: Integrate data science solutions into existing workflows and software systems., • Data Security: Ensure data privacy by implementing appropriate security measures., • Documentation: Maintain clear documentation of processes, models, and findings., • Education: Bachelor's degree in Computer Science, Statistics, Mathematics, or related field (Master's or Ph.D. preferred)., • Programming Skills: Proficiency in Python or R., • Data Tools: Experience with machine learning and data analysis libraries (e.g., Pandas, NumPy, ScikitLearn, TensorFlow, PyTorch)., • Database Knowledge: Strong understanding of SQL and relational databases., • Statistical Skills: Expertise in statistical analysis techniques., • Machine Learning: Deep knowledge of machine learning algorithms and techniques., • Data Visualization: Proficient in tools like Matplotlib, Seaborn, or Tableau., • Problem-Solving: Strong analytical and problem-solving skills., • Communication: Ability to clearly explain complex findings to non-technical audiences., • Collaboration: Experience working within cross-functional teams., • Domain Knowledge: Relevant industry experience (e.g., healthcare, finance) may be required., • Competitive salary, • Opportunities for career growth and development, • Health and wellness benefits

Job Description Welcome to the future of cloud networking and security! Cato Networks is the first company to converge enterprise networking and security into one centralized and global service that is delivered by cloud. It is led by networking and security pioneer Shlomo Kramer (Check Point, Imperva) and early investor (Palo Alto Networks, Exabeem, Trusteer and more). Cato's unique technology inspired a brand-new product category, later named "SASE" by Gartner and a market expected to reach $28.5 billion by 2028. This is your opportunity to get on the rocket ship and join a company that is building a cutting-edge enterprise network and secure cloud platform, and is on a fast track to becoming the worldwide market leader – don't miss it! Welcome to the future of cloud networking and security! As a Cato AI Security Professional Services Consultant, you will be a trusted advisor to our customers to help see them through their AI security implementation journey. You will provide technical guidance and direction to ensure the Cato AI security solution's smooth and successful implementation. Curiosity – You have a desire to truly understand our customers' business needs. Creativity – You can find a sustainable path to yes. Empathy – You connect at a human level with our customers, and you genuinely care Responsibilities • Maintain expert-level implementation proficiency of the Cato AI security solution while keeping abreast of the dynamic AI security and enterprise IT infrastructure landscape, • Develop meaningful relationships with key customer stakeholders and their partners, adopting a consultative and prescriptive approach that inspires trust and confidence, • Lead end-to-end customer engagements implementing Cato AI security solution for AI risk management, model security, and data protection so that our customers can realize the total value of their investment in our technology, • Provide technical leadership in deploying and configuring Cato AI Security solution to secure data flows, API calls, and model interactions, • Work with customer teams to design secure AI architectures and establish governance frameworks aligned to standards such as NIST AI RMF, ISO/IEC 42001, and EU AI Act guidance, • Translate technical findings into actionable recommendations for both executive and technical audiences, • Serve as a subject matter expert on AI and LLM security across Cato's customer base, • Contribute to development of internal knowledge sharing, solution playbooks, and enablement materials for partners and customers, • Foster collaboration with our product management, support and engineering teams by providing feedback from the field on features and functionality, influencing roadmap priorities based on customer needs and emerging threats, • Support pre-sales and scoping discussions for new professional services engagements, • Identify opportunities to expand customer value through additional AI security services and capabilities, • Collaboration with greater professional services team to help synthesize experiences and trends observed in the field into repeatable technical best practices in collaboration with other Cato functions, • 5+ years of experience in cyber security, risk management, and/or application development security with strong foundational knowledge of cybersecurity principals, • 5+ years of experience in a customer-facing role (e.g., consulting, professional services, pre-sales, managed services) for a high-tech software or technology vendor, • Proven track record leading enterprise consulting or professional services engagements, • Excellent communication and stakeholder management skills, capable of influencing at all levels and gaining a 'Trusted Advisor' status with key stakeholders, • Excellent troubleshooting and problem-solving skills with an innate ability to methodically get to the root of issues, • Exposure to unique threat landscape for AI and LLMs including AI specific threat models and risks (e.g., prompt injection, data poisoning/leakage/exfiltration, model inversion/manipulations/poisoning, and other adversarial attacks), • Proficient in RESTful API design and security (OAuth2, JWT, API Gateway, secure key management), • Exposure to implementation of API gateways (e.g., Zuul, Apigee, Kong, Amazon API Gateway, Azure API Gateway) and AI application specific gateways (e.g., LiteLLM, Portkey, Helicone, TrueFoundry), • Understanding of secure prompt engineering and policy enforcement for AI tools, • Experience with AI agents, tool-calling frameworks, and orchestration, • Familiarity with data protection regulations and AI Security frameworks (e.g., GDPR, NIST AI RMF, ISO/IEC 27001, ISO/IEC 42001, OWASP Top 10 for LLMs, MITRE ATLAS) is a plus., • Knowledge of and experience in deploying IT infrastructure services in an enterprise environment in a secure manner following industry best practices and standard security/compliance risk frameworks (e.g., SOC 2, HIPPA, FedRAMP, PCI-DSS, NIST, ISO, COBIT, HITRUST, GDPR)., • Very well organized and work effectively in an agile and fast-paced environment, • Solid command of the English language (written and spoken) with additional language skills is a plus., • Comfortable working within a geographically distributed and diverse team for a hypergrowth global organization., • Understanding of AI system architectures, data pipelines, and MLOps, • Experience implementing AI-specific application security controls (e.g, guardrails, filters, model observability) and LLM vulnerabilities testing (e.g., AI red teaming), • Experience designing access control and data classification for AI workflows, • Hands-on experience with public cloud AI/ML application frameworks (e.g., AWS SageMaker, AWS Bedrock, Azure AI Foundry, Google Vertex AI, or Databricks), • Hands-on experience with AI/ML frameworks (e.g., PyTorch, TensorFlow, LangChain, LlamaIndex, Hugging Face), • Hands-on experience with cloud-native security tooling (GuardDuty, Azure Defender, GCP Security Command Center), • Experience with containerization and orchestration (Docker, Kubernetes, Helm, CI/CD pipelines), • Understanding of AI model lifecycle management (e.g., training, fine-tuning, deployment, evaluation), • Knowledge of RAG architectures and vector databases (e.g., Pinecone, FAISS, Weaviate, Chroma), • Understanding of cloud security (AWS, Azure, GCP) and secure integration of SaaS platforms, • Proficiency with Infrastructure-as-Code and automation (e.g., Terraform, CloudFormation, Python) and DevSecOps practices, • Industry accredited security certifications (e.g., CISSP, CCSK, CISM) and AI security–specific credentials, • Coding experience in Go, TypeScript, or Java As an EEO/Affirmative Action Employer all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status. #LI-MR1

Job DescriptionCompany Description When you join Turnitin, you'll be welcomed into a company that is a recognized innovator in the global education space. For over 25 years, Turnitin has partnered with educational institutions to promote honesty, consistency, and fairness across all subject areas and assessment types. Over 21,000 academic institutions, publishers, and corporations use our services: Feedback Studio, Originality, Gradescope, ExamSoft, Similarity, and iThenticate. Experience a remote-centric culture that empowers you to work with purpose and accountability in a way that best suits you, supported by a comprehensive package that prioritizes your overall well-being. Our diverse community of colleagues are all unified by a shared desire to make a difference in education. Turnitin is a global organization with team members in over 35 countries including the United States, Mexico, United Kingdom, Australia, Japan, India, and the Philippines. Turnitin, LLC is an equal opportunity employer- vets/disabled. Job Description Machine Learning is integral to the continued success of our company. Our product roadmap is exciting and ambitious. You will join a global team of curious, helpful, and independent scientists and engineers, united by a commitment to deliver cutting-edge, well-engineered Machine Learning systems. You will work closely with product and engineering teams across Turnitin to integrate Machine Learning into a broad suite of learning, teaching and integrity products. We are in a unique position to deliver Machine Learning used by hundreds of thousands of instructors teaching millions of students around the world. Your contributions will have global reach and scale. Billions of papers have been submitted to the Turnitin platform, and hundreds of millions of answers have been graded on the Gradescope and Examsoft platforms. Machine Learning powers our AI Writing detection system, gives automated feedback on student writing, investigates authorship of student writing, revolutionizes the creation and grading of assessments, and plays a critical role in many back-end processes. Responsibilities and Requirements We’re an applied science group leaning towards modern Deep Learning. We expect our Senior Machine Learning Scientists to have a well-balanced set of skills, both in the Science as well as Software Engineering aspects of (Deep) Machine Learning. You will focus on developing novel and deployable ML models and solutions where no ready-made solution may be available. Therefore you need to be conversant enough with the mathematics of machine learning and deep neural networks such that you can construct novel model architectures, loss functions, training methods, training loops etc. You are also expected to keep abreast of the latest research advancements in AI and Deep Learning across modalities and apply those to your work. While we leverage ready-made training platforms, we also write our own training loops. Additionally, the models need to be directly deployable in our products, therefore, production level coding and software engineering proficiency is required. You may train large models (up to 100s of billions of parameters) therefore, ability to train on multiple GPUs and nodes and knowledge of the latest model training and inferencing advancements is necessary. Next, the models must perform well in production not only in terms of accuracy but also compute-cost. Delivering such software requires a sufficiently deep Computer Science background. Dataset exploration, generation (synthetic), design, construction and analysis, are a routine part of the job and may occupy a significant fraction of your time. Also, datasets can be large (billions of samples), therefore the ability to write parallel and efficient pipelines is a necessary skill. You will also be involved in code & model maintenance, code hardening (preparing the model and code for production pipelines), developing and staging demos and presenting your work within the company as well as via publications in peer reviewed venues (preferably A/A+ rated). Day-to-day, your responsibilities are to: • Research and develop production grade Machine Learning models as described above. Optimize models for scaled production usage., • Work with colleagues in the AI team, other Engineering teams, subject matter experts, Product Management, Marketing, Sales and Customer support to explore ongoing product issues, challenges and opportunities and then recommend innovative ML/AI based solutions., • Help out with ad-hoc one-off tasks as a team player within the AI team., • Work with subject matter experts to curate and generate optimal datasets following responsible data collection and model maintenance practices. Explore and access SQL, no-SQL and web data and write efficient parallel pipelines. Review and design datasets to ensure data quality., • Investigate weaknesses of models in production and work on pragmatic solutions., • Utilize, adopt, and fine-tune off the shelf models, including LLMs exposed via API (through prompt engineering and agents) and locally hosting LMs and other foundation models., • Stay current in the field - read research papers, experiment with new architectures and LLMs, and share your findings., • Write clean, efficient, and modular code with automated tests and appropriate documentation., • Stay up to date with technology and platforms, make good technological choices, and be able to explain them to the organization., • Work with downstream teams to productionize your work and ensure that it makes into a product release., • Communicate insights, as well as the behavior and limitations of models, to peers, subject matter experts, and product owners., • Present and publish your work.Qualifications Required Qualifications: • Master's degree or PhD in Computer Science, Electrical Engineering, AI, Machine Learning, applied math or related field or outstanding previous achievements demonstrating excellence in Deep Machine Learning, Computer Science and Software Engineering., • At least 5 years of industry experience in Machine / Deep Learning (we use the python ecosystem for ML), Computer Science and Software Engineering., • A strong understanding of the math and theory behind machine learning and deep learning is a prerequisite., • Academic publications in peer reviewed conferences or journals related to Machine Learning - preferably A/A+ rated such as NeurIPS, ICML, ICLR, AAAI, TMLR, JMLR, IJCAI, ICANN, KDD, ACL, EMNLP, NAACL, COLING, CVPR, ICCV, ECCV, IEEE etc., • Machine / Deep Learning development skills, including popular platforms (we use AWS SageMaker, Hugging Face, Transformers, PyTorch, PyTorch Lightning, Ray, scikit-learn, Jupyter, Weights & Biases etc.)., • An understanding of Language Models, using and training / fine-tuning and a familiarity with industry-standard LM families., • Excellent communication and teamwork skills., • We’re an applied science group, therefore Software development proficiency is a requirement. Experience working with text data to build Deep Learning and ML models, both supervised and unsupervised. Experience with deep learning in other modalities such as vision and speech would be a strong bonus., • A Computer Science educational background is preferred as opposed to statistics or pure mathematics., • Familiarity in building front-ends (Gradio, Streamlit, Dash or more standard React, Javascript, Flask) for simple demos, POCs and prototypes., • Experience with advanced prompting / agentic-systems and fine-tuning or training an LLM, using industry accepted platforms., • Showcase previous work (e.g. via a website, presentation, open source code)., • Familiarity in coding for at-scale production, ranging from best practices to building back-end API services or stand-alone libraries., • Essential dev-ops skills (we use Docker, AWS EC2/Batch/Lambda). Additional Information The expected annual base salary range for this position is: $111,000/year to $185,000/year. This position is bonus eligible / commission-based. As a Remote-First company, actual compensation will be provided in writing at the time of offer, if extended, and is determined by work location and a range of other relevant factors, including but not limited to: experience, skills, degrees, licensures, certifications, and other job-related factors. Internal equity, market and organizational factors are also considered. Total Rewards @ Turnitin Turnitin maintains a Total Rewards package that is competitive within the local job market. People tend to think about their Total Rewards monetarily — solely as regular pay plus bonus or commission. This is what they earn in exchange for what they do. However, Turnitin delivers more than just these components. Beyond the intrinsic rewards of unleashing your potential to positively impact global education, and thriving in an organization that is free of politics and full of humble, inclusive and collaborative teammates, the extrinsic rewards at Turnitin include generous time off and health and wellness programs that offer choice and flexibility and provide a safety net for the challenges that life presents from time to time. Experience a remote-centric culture that empowers you to work with purpose and accountability in a way that best suits you, supported by a comprehensive package that prioritizes your overall well-being. Our Mission is to ensure the integrity of global education and meaningfully improve learning outcomes. Our Values underpin everything we do. • Customer Centric - We realize our mission to ensure integrity and improve learning outcomes by putting educators and learners at the center of everything we do., • Passion for Learning - We seek out teammates that are constantly learning and growing and build a workplace which enables them to do so., • Integrity - We believe integrity is the heartbeat of Turnitin. It shapes our products, the way we treat each other, and how we work with our customers and vendors., • Action & Ownership - We have a bias toward action and empower teammates to make decisions., • One Team - We strive to break down silos, collaborate effectively, and celebrate each other’s successes., • Remote First Culture, • Health Care Coverage*, • Education Reimbursement*, • Competitive Paid Time Off, • 4 Self-Care Days per year, • National Holidays*, • 2 Founder Days + Juneteenth Observed, • Paid Volunteer Time*, • Charitable contribution match*, • Monthly Wellness or Home Office Reimbursement*, • Access to Modern Health (mental health platform), • Parental Leave*, • Retirement Plan with match/contribution*, • varies by country Seeing Beyond the Job Ad At Turnitin, we recognize it’s unrealistic for candidates to fulfill 100% of the criteria in a job ad. We encourage you to apply if you meet the majority of the requirements because we know that skills evolve over time. If you’re willing to learn and evolve alongside us, join our team! Turnitin, LLC is committed to the policy that all persons have equal access to its programs, facilities and employment. 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.

Job DescriptionJob Title: Data Scientist-GCP Client: TBD Work Time Zone: EST Rate: $58/hour on 1099/C2C Location: Atlanta, GA ( Hybrid – 3 days on-site) We are looking for an experienced and forward-thinking Data Scientist to join our Data, Analytics, and Data Products team. The ideal candidate will have strong hands-on experience using Google Cloud Platform (GCP) tools—especially Vertex AI and Gemini—to deliver high-impact machine learning, statistical analysis, and generative AI solutions. This role plays a key part in optimizing decision-making and operational strategies across our core business functions. Core Responsibilities • Data Analysis & Exploration, • Analyze and explore large, complex datasets using BigQuery and other GCP-native sources., • Identify patterns, trends, and actionable insights to inform data science projects and business initiatives., • Statistical Modeling & Machine Learning, • Build, tune, and evaluate ML models (e.g., classification, regression, clustering, forecasting)., • Leverage Vertex AI (AutoML, custom training, BigQuery ML) for scalable model development., • Generative AI & LLM Applications, • Develop and deploy generative AI use cases using Vertex AI and Gemini., • Engage in prompt engineering, model fine-tuning, feature extraction, summarization, and more., • Design and implement advanced architectures such as Retrieval-Augmented Generation (RAG)., • Model Deployment & MLOps, • Use Vertex AI Pipelines, Model Registry, and Prediction Services to deploy and manage models., • Implement monitoring for model drift, bias detection, and performance tracking in production., • Experimentation & Validation, • Design and analyze experiments (e.g., A/B testing) to measure model effectiveness and business impact., • Define evaluation metrics aligned with model fairness, quality, and real-world utility., • Cross-Functional Collaboration, • Work closely with Data Engineers, Product Managers, and business stakeholders to scope, design, and deploy models., • Bachelor's degree in Statistics, Computer Science, Data Science, or a related quantitative field., • 8-12 + years of experience in applied data science, machine learning, and statistical analysis., • Strong coding skills in Python or R for data analysis, modeling, and automation., • Hands-on experience with Vertex AI components (Notebooks, Pipelines, Training, Prediction)., • Familiarity with Gemini or other LLMs; experience with prompt engineering or GenAI tools., • Strong analytical thinking, communication, and storytelling abilities., • Proven track record with GenAI, including LLM integration, fine-tuning, and RAG systems., • Deep expertise in the Vertex AI ecosystem (Feature Store, Vector Search, Agent Builder)., • Solid understanding of MLOps practices and tools (e.g., CI/CD pipelines for ML)., • Experience with TensorFlow, PyTorch, or JAX.

Job Description Job Title Data Scientist Employment Type Full-time Work Authorization Requirements Authorized to work in the United States Language Requirements English About PRGX PRGX is the global leader in source-to-pay data analytics and software, and tech-enabled profit recovery services. We provide software and services to maximize revenue recovery and drive margin improvement for our clients. For more information about PRGX, visit . Job Duties & Responsibilities · Apply machine learning algorithms and statistical models to large datasets to identify trends, patterns, and relationships. · Collaborate with cross-functional teams to understand business objectives and develop data-driven solutions. · Design and implement end-to-end machine learning pipelines, from data preprocessing to model training, evaluation, and deployment. · Stay up-to-date with the latest research and developments in machine learning and artificial intelligence · Communicate complex data insights and findings to non-technical stakeholders through visualizations and presentations. · Mentor and guide interns on the team. · Other duties as assigned. Knowledge & Qualifications · Master of Science in a relevant field such as Computer Science, Statistics, Mathematics, Engineering, or Data Science. · PhD preferred. · Minimum of 1 year of experience applying machine learning techniques to solve complex data problems. · Strong knowledge of machine learning algorithms and statistical models, including supervised and unsupervised learning methods. · Experience with data preprocessing, feature engineering, and data visualization techniques. · Proficiency in Python programming, and experience working with big data tools such as Spark. · Excellent communication skills, with the ability to explain complex concepts to non-technical stakeholders. · Strong problem-solving skills and attention to detail. · Experience with agile development methodologies and version control tools such as Git. Preferred Qualifications: • Experience working with natural language processing (NLP) techniques., • Familiarity with deep learning frameworks such as TensorFlow or PyTorch. PRGX is an equal opportunity employer. We comply with all applicable local, national, and international laws regarding non-discrimination and equal employment. We do not discriminate based on any legally protected characteristic and are committed to fostering an inclusive, respectful, and equitable workplace. Reasonable accommodations are available for qualified individuals in accordance with local laws and best practices. Physical Requirements Ability to sit or stand for extended periods of time, manual dexterity for typing, writing, or using office equipment, visual acuity for reading screens and documents, ability to lift or carry light items such as laptops, and speech and hearing ability for calls, virtual meetings, and in-person communication Data Privacy Your personal data will be handled in accordance with applicable data protection laws. We only collect information necessary for recruitment and will not share your data without your consent.

Job Description Are you passionate about applying machine learning to transform the future of semiconductor design? At Falcomm, we are on a mission to revolutionize semiconductor technologies by integrating AI-driven solutions into the design and development of our energy-efficient power amplifier products. As a ML Software Engineer Intern in AI/CAD Integration, you will collaborate with our team of experts to develop and deploy AI/ML models that enhance CAD workflows, automate design processes, and accelerate innovation in RFIC design. This role offers a unique opportunity to work at the intersection of software engineering, machine learning, and semiconductor design, contributing directly to tools and methodologies that drive next-generation hardware solutions. We are seeking an intern who thrives in a fast-paced environment, is eager to tackle complex technical challenges, and is motivated to turn AI research into practical engineering solutions. If you have a strong foundation in machine learning, software development, and a desire to apply these skills to advance semiconductor innovation, we invite you to join us. At Falcomm, your creativity and technical expertise will help shape energy-efficient technologies that set new industry standards. Responsibilities • Design and implement code for training/serving ML models in chip design workflows, • Automate creation of large datasets for training models, • Integrate ML models into existing chip design software infrastructure, • Write comprehensive tests and documentation, • Collaborate with engineers to understand model requirements and deployment needs, • Participate in code reviews and follow software engineering best practices, • Currently pursuing a degree in Computer Science, Electrical Engineering, or related field, • Strong Python programming skills with experience in scripting and automation, • Understanding of software engineering principles and code organization, • Experience with data processing libraries (pandas, numpy, scipy), • Familiarity with machine learning frameworks (PyTorch, TensorFlow, scikit-learn), • Basic understanding of file I/O, data parsing, and format conversion, • Experience with version control systems (Git) and collaborative development Preferred Skills • Exposure to CAD tools or EDA software (Cadence, Synopsys, Mentor Graphics, etc.), • Knowledge of chip design file formats (GDSII, LEF/DEF, Verilog, SPICE), • Experience with shell scripting (bash) and command-line tools, • Understanding of semiconductor design concepts, • Familiarity with Linux environments, • Experience with workflow automation and batch processing systems, • Knowledge of data visualization tools (matplotlib, plotly) for design analysis, • Competitive Salary, • Sick Leave DISCLOSURE • Falcomm is an Equal Opportunity Employer; employment with Falcomm is governed on the basis of merit, competence and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability or any other legally protected status., • Applicants wishing to view a copy of Falcomm’s Affirmative Action Plan for veterans and individuals with disabilities, or applicants requiring reasonable accommodation to the application/interview process should notify Falcomm., • To conform to U.S. Government export regulations, including the International Traffic in Arms Regulations (ITAR) you must be a U.S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State.