Machine learning jobs in Atlanta, GeorgiaCreate job alerts

Cargill is a family company committed to providing food and agricultural solutions to nourish the world in a safe, responsible, and sustainable way. We sit at the heart of the supply chain, partnering with producers and customers to source, make and deliver products that are vital for living. By providing customers with life’s essentials, we enable businesses to grow, communities to prosper, and consumers to live well. This position is in our Food Enterprise where we are committed to serving food manufacturers, food service customers, and retailers with a complete range of innovative ingredients and branded products. Our portfolio includes poultry, beef, egg, alternative protein, salt, oils, starches, sweeteners, cocoa and chocolate. The Senior AI & Data Science job plans and leads the development of artificial intelligence models from design and prototyping through deployed solutions to drive decision making. With minimal supervision, this role extracts and integrates complex data from various sources, builds advanced models suitable for the business use case and evaluates model performance for accuracy, scaling and deployment. This job also develops compelling and clear communication materials to facilitate partner on board. By leveraging diverse and expansive data sources, this role applies advanced forecasting, optimization, and machine learning techniques to transform how decisions are made across the supply chain. The Senior Professional accelerates AI adoption by partnering with business and technology teams. They work to embed models into core workflows, operationalizing data science to deliver sustained business impact. • DATA PREPARATION MANAGEMENT: Conducts extraction and integration of complex data from different data sources, analyses the ways in which datasets may be biased and applies mitigation strategies., • DATA ANALYSIS: Reviews complex data sets for exploratory data analysis to identify trends and patterns that inform business strategies across various areas., • MODEL DEVELOPMENT: Develops and deploys artificial intelligence models, including monitoring and evaluating ongoing performance to solve complex business problems and derive actionable insights., • AI ENGINEERING: Establishes software and artificial intelligence engineering patterns and principles to design, develop, test, integrate, maintain and troubleshoot complex and varied generative artificial intelligence software solutions and incorporates security practices in newly developed and maintained applications. ., • DOCUMENT & REPORTING: Documents development and code in ways that allow for support and knowledge sharing., • COMMUNICATION: Presents techniques and results to technical and non-technical audiences., • CONTINUOUS LEARNING: Examines existing and emerging artificial intelligence and optimization principles, theories, and techniques to develop and deploy artificial intelligence models into production, improving the organization's analytical capabilities., • STAKEHOLDER MANAGEMENT: Works closely with businesses to understand needs, and collaborates with cross functional teams to develop artificial intelligence models for digital applications., • Minimum requirement of 4 years of relevant work experience. Typically reflects 5 years or more of relevant experience. Preferred Qualifications: • Master’s degree or PhD in Applied Mathematics, Computer Science, Data Science, Operations Research, or a related field., • Deep experience leading the design, deployment, and scaling of applied AI/ML solutions that drive measurable business impact across complex value chains., • Advanced expertise in Machine Learning, Deep Learning, and/or Reinforcement Learning, including model governance, performance monitoring, and lifecycle ownership., • Recognized depth in forecasting and optimization, with a track record of influencing enterprise‑level decisions in pricing & commercial. #HiPo This role is not eligible for employer-sponsored work authorization now or in the future. This includes candidates whose work authorization is tied to a student visa, employer-sponsored visa, visa transfer, immigration petition, or other third-party sponsorship arrangement. The expected salary for this position is $105,000 - $160,000. Compensation varies depending on a wide array of factors including but not limited to the specific location, certifications, education, and level of experience. The disclosed range estimate may be adjusted for any applicable geographic differential associated with the location at which the position may be filled. This position is eligible for a discretionary incentive award. The incentive award amount is dependent upon company performance and your personal performance. At Cargill we put people first. As part of your overall rewards, we offer a comprehensive benefit program including medical and/or other benefits dependent on the position offered and hours worked. Visit: _ to learn more (subject to certain collective bargaining agreements for Union positions). Minnesota Sick and Safe Leave accruals of one hour for every 30 worked, up to 48 hours per calendar year unless otherwise provided by law. Equal Opportunity Employer, including Disability/Vet To apply using chat/text, please click Apply Now button OR use _ to create a login to apply.

Job DescriptionWho We Are: From Georgia. For Georgia. Since 1914 Yancey Bros. Co. has proudly served as the authorized Caterpillar equipment dealer for Georgia, providing our customers with the highest quality sales, parts and service. From Caterpillar heavy and compact construction equipment to on-highway trucks, we remain committed to learning more about our customers, offering equipment and support to keep up with their changing needs. This all starts with our greatest asset…our employees. What You Will Be Doing: Do you enjoy working with your hands? Do you have a natural knack for fixing and repairing things? Are you interested in a career as a Diesel technician? Are you looking for a college Certificate/Diploma, without the academic requirements? Partnering with Chattahoochee Technical College at the Austell Campus, Yancey Bros. Co. is offering a unique opportunity that combines classroom and hands-on training while you receive college credit. This is a full-time, paid position with benefits allows you to start your path to becoming a Diesel Technician. The certificate is a stand alone credential but the credits are fully transferable to future diploma or degrees in Diesel Technology and some other’s in the State of Georgia, if the student chooses to do so in the future. Starting pay is $20 per hour with scheduled increases at the 6-month and 12-month marks. All students are provided with a complete set of tools (valued at $8,000) to use during their training and are eligible to keep them after two years of employment. This is an entry level position which allows for advancement through the Yancey career development program after completion. About the Program: • 4-months (16 weeks) of instructor-led training, followed by a structured mentorship program through your first year of employment. Working 40 hours per week, you meet the requirements of a 1year certificate program., • Follow an outline of class material, hands-on-training, and process / procedure experiences under the supervision of your instructor to prepare you for a career as a Diesel Technician., • Includes a structured task / accomplishment check-in cycle. Primary Responsibilities:, • Disassemble and assemble components., • Clean and inspect components., • Evaluate re-usability of component parts., • Perform failure analysis based on failed parts, SOS reports, and Machine operation.Education/Experience:, • The knowledge, skills, and abilities, typically acquired through the completion of a high school diploma and/or GED. Required Qualifications/Skills:, • 18 years of age or older., • Meet Yancey Bros. Co. pre- employment requirements. All mechanical testing, background checks, driving record checks and drug screening will be conducted., • Must meet the requirements to enter the Technical College System of Georgia., • Students are responsible for the tuition and fees associated with the college program. This program is Hope Grant qualified, so students meeting the requirements have the potential of having the majority of the program paid for. Preferred Qualifications/Skills: • Previous mechanical experience. Environmental Job Requirements: • Most of your time is spent standing/walking., • Willing to work in extreme weather conditions and around loud noises. Physical Job Requirements: • Will require appropriate Personal Protection Equipment to be worn., • Able to operate and climb underneath equipment., • Able to lift, carry, and lower up to 100 lbs. Travel: • Not required.Who We Are Looking For: To be successful in this position you should have basic mechanical aptitude and a desire to work in the Heavy Equipment / Rental / On-Highway industry as a technician. You should have the drive to learn a new set of skills and be safety conscious. The ability to multitask, problem solve and provide superior customer service are essential to this position as well.

Job DescriptionMake a real difference at one of London’s foremost SaaS scale-ups: Be ready to pioneer the future of AI, data analytics, and technology. Step into PredictX, where we don't just see AI as a fashionable bandwagon to hop on but have lived and breathed AI & ML in every aspect of our product for the past decade. As an Enterprise SaaS provider, we're revolutionising critical decision-making for many of the world’s largest businesses, including three FAANGs, seeking empowerment through our integrative AI technology and Predictive Analytics. Revolutionize Corporate Travel with AI Are you ready to transform the future of business travel? The Role As an Enterprise Account Executive at PredictX, you'll be at the forefront of innovation, driving the adoption of our cutting-edge AI-powered travel and expense platform. You'll have the opportunity to work with some of the world's largest organizations, helping them streamline their travel programs, reduce costs, and enhance employee satisfaction.\uD83C\uDF1FWhat You'll Do • Hunt the Big Game: Identify and pursue high-value enterprise accounts., • Consult, Don't Just Sell: Understand your clients' unique challenges and tailor solutions that deliver real value., • Build Lasting Relationships: Forge strong partnerships with key decision-makers at all levels., • Close the Deal: Drive the entire sales cycle from initial contact to contract signing., • Stay Ahead of the Curve: Keep up with industry trends and leverage AI to position PredictX as the industry leader. \uD83C\uDFAFWhat You'll Need • Proven Track Record: A history of success in enterprise sales, especially within the travel and expense industry., • Deep Domain Knowledge: A solid understanding of corporate travel and expense management., • Sales Savvy: Expertise in sales methodologies like MEDDICC or Challenger Sale., • Tech Enthusiasm: A passion for technology and a desire to work with cutting-edge AI solutions., • Excellent Communication Skills: The ability to articulate complex ideas clearly and persuasively., • Strong Relationship-Building Skills: The knack for building rapport and trust with clients. \uD83C\uDF31Why Join PredictX? • Be Part of Something Big: Join a dynamic and innovative team that's shaping the future of business travel., • Competitive Compensation: A competitive salary and benefits package., • Unlimited Growth Opportunities: A chance to advance your career and develop new skills., • Cutting-Edge Technology: Work with the latest AI and machine learning tools., • A Supportive Culture: A collaborative and supportive work environment.\uD83D\uDCAB Our Culture, • Freedom to experiment and innovate, • Built-in time for learning and research, • Supportive environment where failure is seen as learning, • Direct impact on product direction and company strategyIf you're a highly motivated and results-oriented sales professional, we want to hear from you. Apply today and let's revolutionise corporate travel together! At PredictX, every day is a leap towards reshaping the tech and AI landscape. It’s not just a job; it’s a journey to innovate and achieve excellence. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionSonatype is the software supply chain security company. We provide the world’s best end-to-end software supply chain security solution, combining the only proactive protection against malicious open source, the only enterprise grade SBOM management and the leading open source dependency management platform. This empowers enterprises to create and maintain secure, quality, and innovative software at scale. As founders of Nexus Repository and stewards of Maven Central, the world’s largest repository of Java open-source software, we are software pioneers and our open source expertise is unmatched. We empower innovation with an unparalleled commitment to build faster, safer software and harness AI and data intelligence to mitigate risk, maximize efficiencies, and drive powerful software development. More than 2,000 organizations, including 70% of the Fortune 100 and 15 million software developers, rely on Sonatype to optimize their software supply chains. The shift to AI-driven software development has fundamentally accelerated code generation. Developers are deploying features up to five times faster, but in doing so, they are ingesting vast networks of third-party open-source components that expose enterprises to machine-speed attacks. To support this surge in demand, Sonatype is expanding its North American Sales team. We are seeking a high-performing, self-motivated Territory Account Executive to join our Velocity closing engine. Moving from a technical BDR or inside sales background into a full-cycle closing position, you will drive fast-paced, high-volume transactions focused on core enterprise cloud opportunities under $75,000. If you are a self-starter eager to master outbound engagement, continuously invest in your own technical growth, and operate in a high-velocity environment backed by a profitable, category-defining market leader, this is your opportunity to step up and build the next phase of your sales career. Responsibilities: Outbound Pipeline Generation: Independently prospect, cultivate, and engage North American accounts to build a predictable pipeline without relying on heavy inbound or channel support. High-Velocity Deal Execution: Manage a high volume of concurrent sales cycles ranging from 3 weeks to 3 months, taking opportunities from initial qualification to close. Solution Value Selling: Qualify and present Sonatype’s SaaS/Cloud application security and supply chain platform, tailoring product value to both engineering and security buyers. Self-Sufficient Deal Management: Run highly efficient sales processes with minimal technical and Sales Engineering resources by leveraging strong technical curiosity, product knowledge, and structured execution. Forecast & Pipeline Hygiene: Maintain strict accuracy in CRM data, activity tracking, and quarterly revenue forecasting. Role: Full-Cycle Territory Ownership: Prospect, qualify, advance, and close high-velocity transaction flows within your assigned territory framework. High-Volume Cadence Management: Maintain a high daily volume of outbound touches (calls, emails, social outreach) to uncover latent application security needs inside target agencies. Bid & Proposal Execution: Lead the internal orchestration and timely drafting of technical and commercial responses to public RFIs, RFPs, and agency solicitations. Channel Alliance Alignment: Partner closely with regional channel accounts, systems integrators, and distribution partners to track registrations and secure transactional closure. Value-Based Discovery Demonstrations: Conduct precise technical-commercial discoveries, positioning Sonatype’s automated software supply chain protection as a non-negotiable compliance standard. Forecast Guardrail Maintenance: Protect territory forecasting hygiene through meticulous milestone updates inside our GTM execution platforms. Who you are: Essential Proven Track Record: Experience as a high-performing Technical Business Development Representative (BDR), Senior SDR, or Inside Sales Representative looking to transition into/grow within a closing role. High-Velocity Outbound Execution: Demonstrated ability to prospect, multi-thread, and run disciplined outbound outreach into target organizations. Technical Curiosity & Self-Learning: Proactive mindset with a drive to independently learn software engineering concepts, application security basics, and SaaS/cloud deployment models. Organization & Drive: Highly structured task management skills capable of handling a high volume of concurrent deals and short sales cycles (3 weeks to 3 months). Commercial Awareness: Strong understanding of deal qualification, pipeline hygiene, and value-based closing techniques. AI Readiness: Ability to leverage AI productivity tools (e.g., generative AI for account research, personalized outreach, and workflow automation) with strong judgment and validation habits. Preferred Prior experience selling SaaS, Cloud infrastructure, DevOps, or Application Security solutions. Familiarity with cloud-native application architectures, software supply chain concepts, or developer tooling. Familiarity with modern sales tech stacks (Salesforce, Gong, Outreach/Salesloft) and AI-assisted GTM tools. What we are proud of: 2025 AI Compliance Solution of the Year - AI Breakthrough Awards 2025 DEVIES Award to our SBOM Manager new product for its innovation and impact in developer technology 2024 Industry Leader in Forrester-Wave for Software Composition Analysis (2024 Q4 report) 2023 Fast Company Best Places for Innovators 2023 Gartner’s Magic Quadrant 2023 Software Report’s Top 100 Software Companies 2023 BuiltIn Best Places to Work 2022 Frost & Sullivan Technology Innovation Leader Award 2022 PeerSpot Silver Peer Award in Software Composition Analysis 2022 Tech Ascension Best DevOps Security Solution Award 2022 NVCT Cyber Company of the Year Company Wellness Week - We shut down company operations for a week to enable all employees to pursue personal growth and enjoy a much-needed and deserved rest. At Sonatype, we value diversity and inclusivity. We offer perks such as parental leave, diversity and inclusion working groups, and flexible working practices to allow our employees to show up as their whole selves. We are an equal-opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. If you have a disability or special need that requires accommodation, please do not hesitate to let us know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Description Since our founding in 2012, Lotlinx has consistently pioneered advancements in the automotive landscape. We specialize in empowering automobile dealers and manufacturers by providing cutting-edge data and technology, delivering a distinct market advantage for every single vehicle transaction. Today, we stand as the foremost automotive AI and machine learning powered technology, excelling in digital marketing, risk management, and strategic inventory management. Lotlinx provides employees with a dynamic work environment that is challenging, team-oriented, and full of passionate people. We offer great incentives to our employees, such as competitive compensation and benefits, flex time off, and career development opportunities. Job Summary The Enterprise Account Manager will support large dealer groups in the East region. You will serve as a strategic advisor, helping these groups with measurable ROI through adoption and effective use of the Lotlinx platform. You are responsible for interfacing at all levels to build relationships, drive adoption of our platforms and our tools, and use data to recommend inventory strategies for success. Retention, upsell, and client success are measures of your success in the role. Must be based in the East region. Key Responsibilities Build and Maintain Strategic Relationships • Foster strong, long-term relationships through regular communication, weekly touchpoints, monthly business reviews, and proactive problem-solving., • Serve as a trusted advisor to dealer group leadership, general managers, and operational stakeholders, translating data insights into actionable business recommendations., • Develop executive-level relationships that drive engagement, retention, and long-term partnership growth. Drive Adoption and Business Performance • Lead onboarding, adoption, and optimization efforts to ensure clients realize maximum value from the Lotlinx platform., • Educate dealer groups on platform capabilities, inventory management strategies, risk inventory mitigation, channel marketing best practices, and industry trends., • Utilize data and analytics to recommend strategies that improve inventory turn, profitability, and operational performance. Customer Success and Strategic Planning • Conduct regular business reviews and performance discussions using platform data, reporting, and market insights., • Partner with dealer groups to establish strategic objectives and implement campaigns that align with business goals., • Support initiatives that increase customer satisfaction, platform engagement, and long-term account value. Retention, Expansion, and Revenue Growth • Proactively assess account health and identify risks that could impact retention or customer satisfaction., • Develop and execute account growth plans focused on increasing platform adoption across rooftops, • Identify, qualify, and drive upsell and cross-sell opportunities by aligning Lotlinx solutions with evolving dealer group needs. Voice of the Customer • Gather and communicate customer feedback regarding products, services, and market needs., • Identify trends, competitive insights, and enhancement opportunities that influence product development and go-to-market strategy., • Collaborate cross-functionally with Sales, Product, Marketing, and Customer Success teams to improve the customer experience and business outcomes., • Identify and prioritize updates based on dealer feedback, industry trends, market dynamics, and competitor analysis using our tools. What We Are Looking For? • Proven Relationship Management: Proven track record of managing dealer relationships; dealer principles, dealer groups, • Tech-Savvy: Ability to understand, interpret, and present data effectively using a consultative approach. Comfortable working in a fast-paced, technology-driven environment., • Quick Learner: Ability to grasp new concepts quickly, maintain an open mind for change, and proactively solve problems., • Excellent Communication: Strong communication and presentation skills, with a focus on listening for understanding and influencing outcomes., • Client Service Excellence: Proven track record of delivering outstanding client service., • Leadership Engagement: Expertise in interfacing with client contacts at various leadership levels., • Technical Presentation: Ability to effectively present Lotlinx platform and technology and respond to client requirements and requests with urgency., • Client Standards Understanding: Capacity to educate and consult with dealers and requirements related to offered products, features, and solutions., • Internal Communication: Ability to communicate client requirements to internal teams with urgency to ensure alignment., • High Integrity and Work Ethic: Self-starter with a strong work ethic, high energy levels, and a commitment to integrity. Qualifications • Bachelor's degree or equivalent experience, • 5+ years of account management experience preferred, • Experience with presentation tools, Salesforce, and Outreach, • Proven track record of sales success, • Experience in the automotive industry is required Pay: $100,000 base salary + generous commission structure. Benefits: Medical, Dental, Vision, Matching 401k. Lotlinx is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. Lotlinx is not currently able to offer sponsorship for employment visa status. Lotlinx is headquartered in Peterborough, NH and has locations in Holmdel NJ, Manitoba, Ontario and British Columbia, Canada in addition to a large team spanning from the US to Canada. Our success relies heavily on our customers but also our dedicated talent that continuously moves our platform forward. We value our employees, their abilities and seek to foster an open, cooperative, dynamic environment where the team and company alike can thrive.

Who we are With its A.I.-powered robotic technology platform, Symbotic is changing the way consumer goods move through the supply chain. Intelligent software orchestrates advanced robots in a high-density, end-to-end system – reinventing warehouse automation for increased efficiency, speed and flexibility. What we need The Field Maintenance Trainer is responsible for developing and training Maintenance Technicians to safely troubleshoot, repair, calibrate, and perform preventative maintenance on Symbotic’s advanced automation systems. Training programs are developed under centralized governance to ensure consistency, quality, and scalability, with field trainers contributing subject matter expertise to content design and delivery. These systems include Symbotic’s Automated Adapters, Vertical Lifts, robotic fleet, and associated control systems. In this role, you will serve as a technical subject matter expert and educator, helping technicians become highly proficient in mechanical, electrical, PLC, robotic, and electromechanical troubleshooting. The ideal candidate combines strong hands-on industrial automation experience with the ability to effectively coach, mentor, and develop maintenance teams in fast-paced operational environments. What we do The Field Maintenance Trainer is a vital member of the Customer Operations organization. In this role, you will be responsible for traveling to customer sites to lead the training, coaching, and development of both Symbotic and client personnel. Training will include a blend of classroom instruction and hands-on experience. The Field Operations Training team plays a crucial role in ensuring the development and success of our employees at customer locations. What you’ll do Deliver technical training programs for maintenance personnel, serving as a subject matter expert and partnering in the design and development of training content. Train technicians on the operation, maintenance, and repair of Symbotic automation systems and maintenance equipment. Deliver both classroom and hands-on field training focused on electrical, mechanical, PLC, robotic, and controls troubleshooting. Train site teams to diagnose and debug PLCs, robotic systems, HMIs, VFDs, and automated processes. Partner with cross-functional teams to identify ongoing technical training needs and skill gaps. Contribute to the continuous improvement of training materials, delivery methods, and technical documentation to support evolving business needs. Act as an escalation point for technical and customer-related training issues. Maintain expert-level knowledge of Symbotic products, automation systems, and operational processes. Identify opportunities to improve troubleshooting efficiency, maintenance effectiveness, and repair cost optimization. Support maintenance operations on-site as an active member of the field team when required. Travel to customer sites to support system launches, technician development, and operational readiness. Perform additional duties as assigned. What you’ll need Bachelor’s degree or equivalent work experience required. Minimum of 3 years of technical training, coaching, or instructional experience in industrial or automation environments. Minimum of 2 years of industrial controls, automation, or robotics experience. Strong understanding of adult learning principles and technical training delivery methods. Ability to lead technical discussions and present effectively in both classroom and field environments. Experience partnering in the development and delivering live and online training content. Ability to adapt training methods based on technician skill level and operational needs. Experience with DDC systems, industrial robotics, or automation platforms such as ABB or FANUC. Experience with Allen-Bradley RSLogix 5000, RSLogix 500, and FactoryTalk View. Strong PLC, robotics, and controls troubleshooting experience. Experience troubleshooting electrical and mechanical systems using schematics, multimeters, megohmmeters, and oscilloscopes. Experience modifying HMIs, VFDs, and automation system configurations. Knowledge of advanced sensors including scanners, encoders, and distance sensors. Ability to read and interpret electrical, mechanical, and pneumatic drawings. Experience working in collaboration with centralized learning or training governance models preferred. 80% domestic travel required. Our Environment Remote, field-based position with 80% travel. Travel is required: Employee must have a valid driver’s license and the ability to drive and/or fly to client and other customer locations. Must have a credit card available for travelling expenses. The employee is frequently required to walk and reach with hands and arms. The employee is routinely required to work at heights of up to 45 feet and within restrictive areas of 24 inches. to stand; climb or balance and stoop, kneel, crouch, or crawl. The employee must regularly lift and/or move up to 50 pounds. Must comply with all safety requirements and protocols, including without limitation Lock out tag out safety protocols and fall protection safety protocols. There will be steep stairs to climb into the structure and ability to Stand/walk for up to 10-12 hours. You will regularly be near railings that are high off the ground. Subject to environmental conditions, protection from weather conditions but not necessarily temperature changes. Must be capable of working in temperatures ranging from 105° to 32° Fahrenheit. Must be capable of occasional and/or continuous feeling, seeing, hearing, bending, twisting, stooping, pushing, pulling, balancing, gripping, climbing, crawling, sitting, handling objects, and repetitive movement using both hands and feet. Must be in confined spaces for extended periods of time. #LI-KK2 #LI-Remote About Symbotic Symbotic is an automation technology leader reimagining the supply chain with its end-to-end, AI-powered robotic and software platform. Symbotic reinvents the warehouse as a strategic asset for the world’s largest retail, wholesale, and food & beverage companies. Applying next-gen technology, high-density storage and machine learning to solve today's complex distribution challenges, Symbotic enables companies to move goods with unmatched speed, agility, accuracy and efficiency. As the backbone of commerce the Symbotic platform transforms the flow of goods and the economics of supply chain for its customers. For more information, visit _. We are a community of innovators, collaborators and pioneers who embrace our differences, because we know unique perspectives make us stronger and smarter. Every perspective matters. We depend on the collective voices of our employees, customers and community to help guide us as we build a better place to work – for you and the world. That’s why we’re proud to be an equal opportunity employer. We do not discriminate based on race, color, ethnicity, ancestry, religion, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, veteran status, or genetic information. The base range for this position in the posted location is $87,000.00 - $119,900.00 however, base pay offered may vary depending on job-related knowledge, skills, and experience. The compensation package includes medical, dental, vision, disability, 401K, PTO and/or other benefits.

Job Description Hi, We’re AppFolio. We’re innovators, changemakers, and collaborators. We’re more than just a software company; we’re a cloud-based powerhouse that creates products to make our customers’ lives easier. We are an AI-first engineering organization, revolutionizing how people do business. We want your ideas, enthusiasm, and passion to help us keep innovating at the speed of the modern market. Who we are looking for: We are looking for a pioneering technical leader to join a young, high-growth, cross-functional product development team, and to help drive the engineering growth and evolution of our Resident Concierge segment. As a Staff Software Engineer, you will help us design and build best-in-class app experiences, transforming sophisticated business needs into robust, production-grade SaaS infrastructure and pages. The ideal candidate will thrive in a highly collaborative environment, applying the latest in generative AI-assisted techniques to build an innovative product for our customers, has a passion for building leading-edge software and is driven to help build a successful SaaS product used by our large and growing audience of property managers and residents, and who wants to hold themselves to the highest standard of technical excellence while mentoring others in a high-stakes, high-scale environment. Key Responsibilities: Drive the technical vision and strategy across the Resident Concierge subsegment, influencing the product roadmap and making key architectural decisions that align with business goals. Lead the design and implementation of complex, distributed systems that power our next-generation products, preparing our systems for a 10x increase in traffic and engagement. Act as a force multiplier by coaching engineers and fostering a high-trust, autonomous culture where continuous learning and ownership are the norms. Collaborate as a peer with Product, Design, and Machine Learning leaders to bridge the gap between "what’s possible" in AI and "what’s valuable" for our customers. Operate in a highly autonomous team that owns the full lifecycle of solutions you build, from discovery to development to production Proactively research, share, and apply new technologies and patterns that improve system quality and accelerate delivery. Use test-driven development, code reviews, and continuous integration to deliver high-quality software and rapidly fix bugs as they come up. You know you’re the right fit if… You have 8+ years of experience developing and scaling web-based applications, preferably in a SaaS environment. You have a track record of leading high-stakes projects from initial ambiguity to successful launch–aligning stakeholders, making tough technical trade-offs, and ensuring long-term system health. You have experience leading architectural discussions, defining system design, and guiding technical decision-making. You have proactively adopted AI tooling into your daily workflow. You don't just use these tools; you understand how to prompt, iterate, and validate AI-generated output to maintain the highest standards of excellence. You take a pragmatic approach to technology, adopting new tools where they add value, while mastering proven technologies. You care about long-term maintainability, advocate for clean architecture, and drive continuous refactoring and improvement. You balance intensity and sustainability—you’ll go the extra mile when needed but also model healthy work-life balance. You have an ability to solve complex problems without a roadmap You love to learn about and use new tech, but understand the value of continuing to leverage existing technology when it gets the job done. You care about the long-term maintainability of the codebase and advocate for refactoring and code cleanliness. You can identify and resolve code-smells through sensible refactoring. You care about work-life balance and want your company to care about it, too; you'll put in the extra hour when needed but won't let it become a habit. Nice To Have Bachelor’s, Master’s, or Ph.D. in Computer Science or related technical discipline. Experience with technologies in our stack such as Golang, React, AWS, or service-oriented architectures. Compensation & Benefits The base salary that we reasonably expect to pay for this role is $167,200 - $209,000. The actual base salary for this role will be determined by a variety of factors, including but not limited to the candidate’s skills, education, experience, etc. Please note that base pay is one important aspect of a compelling Total Rewards package. The base pay range indicated here does not include any additional benefits or bonuses that you may be eligible for based on your role and/or employment type.Regular full-time employees are eligible for benefits - see here#LI-SS2

Job Description Job Summary: We are seeking a talented Data Scientist to support AI exploration and implementation to enhance our business operations. The ideal candidate will be responsible for identifying potential use cases for AI and leading efforts to build solutions for these use cases by leveraging machine learning algorithms and AI tools. As part of our leading-edge advanced analytics team, you will help drive analytics across the organization to improve customer experience and optimize operations. This is an individual contributor role, providing autonomy in technical and analytical choices, including determining the appropriate modeling techniques and making design decisions. Thanks and Regards Sr. Talent Acquisition Specialist Pankaj Mishra Pankaj.Mishra@4pconsultinginc.com +1 205-756-4834

Job Description About the Role We are seeking an AI Lead to drive innovation and thought leadership around artificial intelligence across Total Perform. You'll combine deep technical expertise in Claude, ChatGPT, and other LLM platforms with the ability to evangelize AI capabilities internally and externally. You'll shape how we build AI-first solutions for customers, establish best practices for AI integration, and become a recognized voice in the AI community—speaking at conferences, publishing technical content, and demonstrating real-world AI applications that drive measurable business value. This is a hybrid role: technologist, strategist, and evangelist. You'll build AI solutions while also positioning Total Perform as a leader in AI-powered consulting and software delivery. What You'll Do Technical Leadership & AI Strategy • Design and implement AI/LLM-powered solutions using Claude, ChatGPT, Codex, and emerging AI platforms, • Establish best practices, architectural patterns, and frameworks for AI integration across projects, • Evaluate emerging AI tools and platforms, separating real value from hype through hands-on experimentation, • Mentor engineers and teams on prompt engineering, AI-assisted development, and agentic workflows, • Build proof-of-concepts and pilot projects that demonstrate AI capabilities to customers and internal teams, • Collaborate with delivery, consulting, and engineering leaders to identify AI opportunities in client engagements External Evangelism & Thought Leadership • Be the external face of Total Perform's AI expertise: speak at conferences, webinars, and industry events, • Publish technical articles, case studies, and thought leadership content on AI applications and business impact, • Engage with the broader tech community: contribute to open-source projects, participate in AI forums and communities, • Present real-world examples of AI-driven solutions and their business outcomes to potential customers, • Build relationships with media, analysts, and industry influencers in the AI space, • Represent Total Perform at industry events and thought leadership forums Internal Advocacy & Knowledge Sharing • Share AI insights and best practices across the organization through training sessions, demos, and documentation, • Work with sales and marketing to develop AI-focused messaging and customer narratives, • Identify and communicate AI-driven competitive advantages and business opportunities, • Run internal workshops and brown bag sessions on AI tools, techniques, and applications, • Help frame AI within the context of our service offerings (consulting, custom software, nearshore talent) Who You Are • Expert-level, hands-on experience with Claude, ChatGPT, Codex, or similar LLM platforms in production environments, • Strong technical foundation in software engineering, data engineering, or AI/ML (not just hype), • Demonstrated experience building AI-powered applications or integrations that solve real business problems, • Proven ability to communicate complex technical concepts to both technical and non-technical audiences, • Natural evangelist and communicator: comfortable presenting to audiences, writing technical content, and engaging on social media, • Entrepreneurial mindset: you see opportunities where others see obstacles, think strategically about market positioning, • Strong business acumen: you understand how AI creates value and can articulate ROI and competitive advantage, • Track record of thought leadership: speaking engagements, published content, community engagement, or recognized expertise in your field, • Collaborative leader who elevates teams and builds organizational capability around AI, • Deep curiosity about emerging AI capabilities and their business applications Required Qualifications • Hands-on production experience with Claude, ChatGPT, or similar LLM platforms (not just exploration, but real implementations), • Strong technical background in software engineering, data engineering, AI/ML, or related field, • Proven ability to communicate AI concepts to multiple audiences (technical and non-technical), • Experience building or architecting AI-powered solutions that deliver measurable business value, • Track record of external communication: speaking, writing, community engagement, or recognized expertise, • Strong understanding of AI capabilities, limitations, and ethical considerations, • Ability to evaluate emerging AI tools and articulate their potential impact and use cases, • Experience working with customers to identify and implement AI solutions, • Excellent verbal and written communication skills, • Passion for AI and commitment to staying current with the rapidly evolving landscape Preferred Qualifications • Experience with prompt engineering and fine-tuning LLMs, • Background in consulting, systems thinking, or strategic advisory, • Experience building agentic workflows or AI-assisted development tools, • Published technical content, speaking engagements at industry events, or recognized thought leadership, • Familiarity with multiple AI platforms and frameworks (LangChain, LlamaIndex, Anthropic SDK, OpenAI API, etc.), • Experience in healthcare, financial services, or enterprise software domains, • Background in product strategy or go-to-market positioning, • Data science or machine learning background, • Experience with AI governance, safety, and ethical considerations Tech Stack & Platforms • LLM Platforms: Claude, ChatGPT, Codex, • Frameworks & Tools: LangChain, LlamaIndex, Anthropic SDK, OpenAI API, Hugging Face, • Development: Python, JavaScript, SQL, • Cloud Platforms: Azure, AWS, Google Cloud, • Data Tools: Vector databases, RAG frameworks, embedding models, • Monitoring & Observability: Langsmith, Arize, or similar AI observability tools, • Communication Channels: LinkedIn, Twitter/X, Medium, conference speaking platforms Your partner for AI, consulting, software development, and nearshore staffing.

Job Description Databricks Subject Matter Expert Permanent Full Time Location: Atlanta, Georgia, United States Description: Databricks Subject Matter Expert Position Description We are seeking a highly experienced Databricks Subject Matter Expert to join at the Lead / Principal level. In this role, you will serve as the firm's foremost technical authority on the Databricks Lakehouse Platform, guiding clients through complex data transformation initiatives—from strategic architecture design through hands-on implementation and production deployment. You will partner directly with client stakeholders (CTOs, VPs of Data, and Engineering Leads) to define data strategies, architect scalable solutions on Databricks, and mentor delivery teams. This is a high-visibility role that blends deep technical expertise with client advisory, pre-sales support, and thought leadership. This role is a hybrid model. We are seeking a highly experienced Databricks Subject Matter Expert to join at the Lead / Principal level. In this role, you will serve as the firm's foremost technical authority on the Databricks Lakehouse Platform, guiding clients through complex data transformation initiatives—from strategic architecture design through hands-on implementation and production deployment. You will partner directly with client stakeholders (CTOs, VPs of Data, and Engineering Leads) to define data strategies, architect scalable solutions on Databricks, and mentor delivery teams. This is a high-visibility role that blends deep technical expertise with client advisory, pre-sales support, and thought leadership. Your future duties and responsibilities Solution Architecture & Design . Lead end-to-end design of Databricks Lakehouse architectures, including Delta Lake, Unity Catalog, and medallion (bronze/silver/gold) data models. . Define reference architectures, best practices, and reusable accelerators for client engagements. . Evaluate and recommend deployment patterns across Azure Databricks, AWS Databricks, and GCP, aligning platform choices with client infrastructure and governance needs. Data Engineering & Pipeline Development . Architect and oversee large-scale ETL/ELT pipelines using Apache Spark, Delta Live Tables, and Databricks Workflows. . Design real-time and batch ingestion frameworks covering structured, semi-structured, and unstructured data sources. . Establish data quality, lineage, and observability standards using Unity Catalog, Delta Lake features, and complementary tooling. Machine Learning & MLOps . Guide clients on implementing end-to-end ML workflows using MLflow, Feature Store, and Model Serving on Databricks. . Advise on MLOps patterns including model versioning, A/B testing, monitoring, and automated retraining pipelines. . Collaborate with data science teams to productionize models and integrate ML outputs into business applications. Client Advisory & Engagement Leadership . Serve as the trusted advisor to senior client stakeholders on all matters related to data platform strategy and Databricks adoption. . Lead discovery workshops, architecture reviews, and technical assessments to define solution roadmaps. . Support pre-sales efforts by developing proposals, estimating level of effort, and delivering technical demonstrations. Thought Leadership & Practice Development . Contribute to the firm's intellectual property by developing frameworks, white papers, and training curricula around Databricks. . Mentor and upskill consultants across the data practice; foster a community of Databricks practitioners. . Represent the firm at industry events, Databricks partner summits, and webinars. Required qualifications to be successful in this role . 10+ years of professional experience in data engineering, analytics, or platform architecture. . 5+ years of deep, hands-on experience with Databricks, including production deployments at enterprise scale. . Expert-level proficiency in Apache Spark (PySpark and/or Scala), Delta Lake, and SQL. . Proven track record designing multi-cloud Lakehouse architectures (Azure, AWS, or GCP). . Strong experience with Unity Catalog for data governance, access control, and lineage tracking. . Demonstrated ability to lead client-facing engagements and communicate complex technical concepts to executive audiences. . Experience in a consulting or professional services environment, with a history of managing multiple concurrent engagements. . Bachelor's degree in Computer Science, Engineering, Data Science, or a related field (or equivalent practical experience). Preferred Qualifications . Databricks Certified Data Engineer Professional or Machine Learning Professional certification. . Experience with Delta Live Tables, Databricks Workflows, and Photon engine optimization. . Familiarity with complementary tools such as dbt, Terraform/Pulumi (IaC), and CI/CD pipelines for data platforms. . Hands-on experience with MLflow, Feature Store, and Model Serving in production environments. . Prior experience as a Databricks partner or in a Databricks-aligned practice within a consulting firm. . Advanced degree (M.S. or Ph.D.) in a quantitative or technical discipline. #M1 #DI-CB2 #L1 - KB1 Ref: #404-IT Pittsburgh

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 Build a Regional Food System That Actually Works The Common Market is not a typical nonprofit. We are a mission-driven food distributor a social enterprise that moves millions of dollars of regionally sourced food from family farms to schools, hospitals, and other institutions. Our work sits at the intersection of supply chain, public health, and regional economic development. Across four regions, weve built a $250M+ platform connecting over 100 farmers to 500+ institutions. Now, were entering our next phase: strengthening our core wholesale business, expanding into new markets, and building the operational systems to scale. We are seeking an Executive Director for our Southeast Chapter a leader who can run and grow a complex, mission-driven business in one of our most important regions. Why This Role, Why Now The Southeast region is at an inflection point. • Demand from schools, hospitals, and institutions is growing, • Our supply base is strong but needs deeper alignment and planning, • We are shifting from grant-supported programs to a more durable wholesale model, • We are investing in stronger systems, clearer accountability, and operational excellence This is not a role where you inherit a finished machine. This is a role for someone who wants to build, lead, and improve a regional business that delivers both revenue and impact and be part of shaping what The Common Market becomes nationally. The Role As Executive Director, you are the senior leader accountable for the full performance of the Southeast Chapter leading operations, revenue, and team execution across a complex regional business. You are accountable for performance, people, and impact: • Running a multi-million dollar regional operation, • Leading a cross-functional team (operations, sales, customer service), • Owning revenue and financial outcomes, • Ensuring safe, efficient, high-quality food distribution, • Building strong relationships with farmers and institutional customers On any given day, you might: • Walk the warehouse floor to troubleshoot a fulfillment issue, • Meet with a hospital system to expand a contract, • Review KPIs with your team and drive accountability, • Partner with national leadership on strategy and systems, • Represent The Common Market in the regional food system You are both operator and leader equally focused on execution and direction. What Success Looks Like (First 1224 Months) • Consistent, reliable warehouse and delivery operations with strong food safety performance, • Clear ownership of revenue targets and measurable growth in institutional sales, • A high-functioning, accountable team with strong frontline leadership, • Improved alignment between supply (farmers) and demand (customers), • Strong relationships with key anchor institutions across the region, • Meaningful contribution to national systems and strategy Who You Are You are a mission-driven business leader not just an advocate, and not just an operator. You likely bring: Operational and Business Leadership • Experience running complex operations (distribution, logistics, manufacturing, or similar), • Comfort owning a P&L, revenue targets, and cost structure, • Ability to translate strategy into execution and results Team Leadership • Experience leading frontline and mid-level managers, • Ability to build accountability without losing trust, • A hands-on leadership style you stay close to the work Relationship Strength • Skilled at building trust with a wide range of stakeholders:, • Farmers and suppliers, • Institutional customers (schools, hospitals, universities), • Community and funding partners Systems Thinking • You understand how supply chains, people, and systems interact, • You use data to drive decisions, not just intuition Mission Alignment • You care deeply about regional food systems, equity, and economic opportunity, • You are motivated by building something that works not just talking about it Who This Role Is Not For This role is intentionally demanding. It is not a fit for candidates who: • Prefer strategy over execution This role requires daily engagement with operations not just planning. • Have not led operational teams Experience limited to policy, fundraising, or program management is not enough. • Are uncomfortable owning revenue and performance You will be accountable for hitting targets and making tradeoffs. • Expect to delegate operations entirely You must understand the details well enough to step in when needed. • Are seeking a traditional nonprofit Executive Director role This is a commercial operation with mission at its core, not a grant-funded program. • Prefer independence over alignment You will work closely with national leadership and peer regions. Key Responsibilities Lead the Business • Own the Southeast Chapters performance across operations, sales, and financial outcomes, • Set clear goals and ensure consistent execution Run High-Quality Operations • Oversee warehouse, logistics, and delivery systems, • Ensure strong food safety, compliance, and operational discipline, • Drive continuous improvement in accuracy, efficiency, and safety Grow Revenue and Partnerships • Expand institutional sales (schools, hospitals, universities), • Support and coach the sales team to meet targets, • Build long-term customer relationships Strengthen the Supply Network • Deepen relationships with regional farmers and producers, • Improve alignment between production and demand Lead and Develop the Team • Build a culture of accountability, learning, and respect, • Support frontline managers and develop emerging leaders Represent the Organization • Serve as a visible leader in the Southeast food system, • Engage funders, policymakers, and partners Qualifications • 710+ years of leadership in operations, supply chain, food distribution, or similar environments, • Experience managing a P&L and delivering measurable performance outcomes, • Track record of leading teams of 10+ staff, including frontline operations, • Strong communication and relationship-building skills, • Experience with CRM/ERP systems (e.g., Salesforce, inventory systems) a plus, • Deep alignment with The Common Markets mission and values Location & Travel • Based in Atlanta, GA, with regular presence at the warehouse, • 2030% regional travel Final Thought This role is for someone who wants to run a real business that delivers real impact. If you are looking for a role where you can: • Lead a team, • Own outcomes, • Build something meaningful at scale Wed welcome a conversation. Benefits • Compensation & Benefits, • $130,000 salary, • Health, dental, and vision insurance, • SIMPLE IRA with 100% employer match, • Employer-paid life and disability insurance, • Paid time off and holidays, • Professional development opportunities

Job Description HI, Hope you're doing well This is pankaj from 4P Consulting Please see below job description Please share your resume if you're interested and have 5-10 years of experience submission on W2 basis only NO C2C • A Data Scientist with 5 to 10 years of experience is responsible for leveraging data to uncover insights, create predictive models, and drive data-driven decision- making within an organization. • This role involves advanced analytics, machine learning, and strong problem-solving skills to extract actionable information from large datasets. Key Responsibilities: Data Analysis: Collect, clean, and analyze complex datasets to identify trends, patterns, and actionable insights. • Use statistical techniques to uncover meaningful information from data. Predictive Modeling: Develop and deploy machine learning models to predict future trends, behaviors, and outcomes. Apply regression analysis, clustering, classification, and other modeling techniques. • Data Visualization: Create compelling data visualizations to communicate findings effectively to both technical and non-technical stakeholders using tools like Tableau, Power BI, or Python libraries. Hypothesis Testing: Formulate and test hypotheses, providing statistical validation for business decisions and recommendations. • Feature Engineering: Engineer and select relevant features for machine learning models, • enhancing their predictive power. Algorithm Development: Build and fine- tune machine learning algorithms, such as decision trees, random forests, neural networks, and more, depending on the specific problem. • Data Integration: Collaborate with IT and database administrators to integrate and access data from various sources and data warehouses. Model Deployment: Deploy machine learning models in production environments to support real-time decision-making. A/B Testing: Design and analyze A/B tests to measure the impact of changes and improvements. Data Ethics: • Ensure ethical data practices, including privacy and compliance with data protection regulations. Cross- functional Collaboration: Collaborate with cross-functional teams, including engineers, business analysts, and domain experts, to understand business requirements and align data science initiatives with organizational goals. Mentorship: • Provide guidance and mentorship to junior data scientists and analysts, fostering their professional growth. Continuous Learning: Stay updated on the latest data science tools, techniques, and trends through ongoing professional development. Qualifications: Bachelors degree in a quantitative field (e.g., Computer Science, Statistics, Mathematics, Engineering); a Masters or Ph.D. is a plus. • 5 to 10 years of experience in data science, including machine learning and statistical analysis. Proficiency in data analysis tools and programming languages such as Python, R, or Julia. Strong knowledge of machine learning algorithms and their applications. Experience with data visualization toolslike Tableau, Power BI, or data visualization libraries in Python (e.g., Matplotlib, Seaborn). Solid understanding of databases and data manipulation using SQL. Excellent problem-solving and critical thinking skills. Strong communication skills to convey complex findings and insights to both technical and non-technical stakeholders. Familiarity with big data technologies and distributed computing frameworks is a plus (e.g., Hadoop, Spark). Knowledge of data ethics, privacy, and compliance considerations. • A Data Scientist with 5 to 10 years of experience is a critical asset to an organization, capable of transforming data into actionable insights, building predictive models, and driving data-driven decision-making. This role requires a strong foundation in data science techniques, programming, and advanced analytics, as well as the ability to collaborate with various teams and mentor junior staff. Thanks and Regards Sr. Talent Acquisition Specialist Pankaj Mishra Pankaj.Mishra@4pconsultinginc.com +1 205-756-4834

Job DescriptionLOCAL METRO ATLANTA CANDIDATES ONSITE REQUIRED As a Kofax/Imaging developer, the job responsibilities include but are not limited to the following: Over 8+ years of experience in System analysis, design and development of Document Management Systems, Record management, Enterprise Content Management processes and workflow solutions. · Solid experience with Kofax Capture 11, KTM 6, KCIC, KCNS and/or Kofax (Tungsten) Total Agility platforms, IBM Content Management and OpenText/RightFax systems. · Proven track record of design and deploying the enterprise-scale capture solutions and automate information intensive processes · Design and develop the imaging, workflow solutions, client/server, win forms, web-based applications using .Net and Java technologies on different layers of the infrastructure with scalable and high availability systems. · Programming skills in VB.Net, C#.Net, MVC, ASP.net, .Net Core, WinForms, WCF, WPF, LINQ, Entity Framework and backend RDBMS databases using MS SQL Server and DB2 and/or PostgreSQL. · Experience with Various Scripting Languages like VB Script, Java Script, SBL and Win Wrap Basic. · OCR/ICR and Barcode technologies, image preprocessing, and machine learning-based classification experience. · Extensive experience automating the data and documents extraction methods is required · Develop custom workflows, export connectors using C#.Net, JAVA and CM APIs to integrate back-end IBM EE Content Management Systems. · Worked on different documents (Structured, Unstructured and semi-structured) · Develop web services using underlying technologies (REST, JSON, SOAP), security and user interfaces using HTML5, CSS3, Java Script, Ajax and jQuery. • Develop IBM Navigator EDS services and interface templates for the content repositories · Design and implement the imaging applications that integrate with vendor cloud applications · Extensively worked on Document Classes in KTM Project Builder, Locators, and Recognition Engines. · Clear understanding of end-to-end application delivery in a multi-platform environment. · Responsible for data migration through enterprise applications · Responsible for capacity planning, design, and maintenance of complex system integrations. · Experience with Install, configure & apply service packs on application servers and clients Required • Install, configure and maintain Production scanners of Fujitsu, Next Scan and scanning applications. · Documenting functional design, each aspect of a system and application as a reference for future upgrades and maintenance · Ensure that our systems and processes meet the security and compliance expectations. Required Skills/Certification: · Kofax 11 certification MUST UPLOAD CERTIFICATION · Kofax Transformation Modules 6.x · Kofax Total Agility · CIP (Certified Information Professional) MUST UPLOAD CERTIFICATION · IBM EE Content management systems AWS hands on experience PostgreSQL DB experience SKILLS: tem analysis, design and development of Document Management Systems, Record management, Enterprise Content Management processes.Required8YearsExperience with Kofax Capture 11, KTM 6, KCIC, KCNS and/or Kofax (Tungsten) Total Agility platforms, IBM Content Management and OpenText/RightFax.Required8YearsStrong programming skills in VB.Net, C#.Net, MVC, ASP.net, .Net Core, WinForms, WCF, WPF, LINQ, Entity Framework and backend RDBMS databasesRequired8YearsClear understanding of end-to-end application delivery in a multi-platform environment.RequiredExperience with Various Scripting Languages like VB Script, Java Script, SBL and Win Wrap Basic.Required8YearsOCR/ICR and Barcode technologies, image preprocessing, and machine learning-based classification experienceRequired8YearsExperience automating the data and documents extraction methodsRequired8YearsExperience with Install, configure & apply service packs on application servers and clientsRequired8YearsKofax 11 certification - MUST UPLOAD CERTIFICATIONRequiredKofax Transformation Modules 6.xRequired8YearsKofax Total AgilityRequired8YearsCIP (Certified Information Professional) - MUST UPLOAD CERTIFICATIONRequiredIBM EE Content management systemsRequired AWS hands on experienceRequired5YearsPostgreSQL DB ex

Job DescriptionSalary: About us: At Cognira, we strongly believe that people are the biggest asset of our company. Our hand-picked team consists of passionate, collaborative, and forward-thinking individuals from all over the globe. We are passionate about making science easy and accessible to retailers, helping them get more value from people, data, and systems. We bring together expertise in retail, science, and scalable technologies to automate and enhance the quality of decision-making through software and consulting services. We are proud to have a growing team of domain experts and data scientists, as well as a culture that fosters strong and long-lasting relationships with our clients. Our Locations: • Atlanta, GA, US, • Tunis, Tunisia, • Istanbul, Turkey, • Paris, France, • Porto, Portugal Our values: • Be nice and trustworthy, • Put our customers first, • Succeed together, • Never stop improving Are you ready to grow with us? To find out more about Cognira, please visit our website at www.cognira.com About this role: The Data Scientist serves as a trusted professional that is experienced in problem-solving with real-world customer data and working with clients. At Cognira this role is expected to participate in design and implementation of client projects, as well as drive the development of general models used in forecasting. You will play an important role in shaping our forecasting processes, from architecting innovative feature sets and training cutting-edge models to refining their predictive power. You'll also partner with cross-functional teams to translate complex data into high-impact business solutions, directly influencing real-world retail strategies. What will you do: • You will develop new models and algorithms that allow our clients to make strategic decisions for promotion and pricing., • You will implement new features in Cogniras forecasting platform., • You will be responsible for implementing forecast and strategy solutions using Cogniras forecasting platform., • You will apply a wide range of statistical and quantitative analysis in practical and valuable ways to real-world business problems., • You will be processing, cleansing, and verifying the integrity of data used for analysis., • You will help create and maintain rich visualizations through data interpretation and analysis., • You will write maintainable and well-documented code., • You will learn and work with subject matter experts from other teams and business representatives from our clients. What you bring to the table: • Excellent academics in computer science, math, statistics or the physical sciences., • Deep understanding of machine learning and artificial intelligence., • Ability to innovate new solutions or design algorithms that address real-world client needs., • Extensive Python expertise with a minimum of 5 years in the field, including mastery of essential frameworks like Pandas, PySpark, or NumPy., • Ability to work on multiple projects., • Ability to maintain a high level of code quality and work within a shared repository., • Excellent written and verbal communication skills including reports and presentations., • A drive to learn and master new technologies and techniques., • You have a collaborative attitude, willingness to share and use best ideas., • You are persistent, focused, self-sufficient and optimistic. Even better if : • You have past retail experience., • You have experience working in a distributed development environment leveraging git and Jira., • You have experience working in a scaled data environment leveraging Spark and Kubernetes., • You have experience working in a Linux environment., • You have a Ph.D. degree. What we offer: • In addition to joining us on our journey to build state-of-the-art, AI-enabled software, youll also get a ton of perks!, • Competitive salary, benefits, and equity stock plans for all employees, • The week between Christmas and New Year's Day as holidays, • Great medical insurance & 401K with matching, • On Wednesdays, we have free lunches, and our office building has a complimentary gym with free classes from yoga to kickboxing. We also have a game room so we have the occasional table tennis competition or a game of shuffleboard., • Work-Life Balance: 21 paid days off, major national holidays in the US, • Unlimited days of Work From Anywhere every year. Wed like to ensure you have the time and flexibility to recharge and spend time with your loved ones., • Casual dress code, free snacks, drinks, and social events!, • Mentorship Program, where you can be a mentor or a mentee., • Referral Program Bonus, • A cool welcome pack with laptop & all necessary IT kit for work Our Recruitment Process: Our interview process includes an initial conversation with our Recruiting team, two technical interviews with our Data Science team, and final conversations with our COO and CEO.

Job DescriptionJob Description We are seeking a Full Stack AI Platform Engineer to join our Data Engineering, AI & ML Platform team. This role is central to designing, building, and scaling the enterprise AI/ML platform that powers intelligent automation across a global portfolio. As a Full Stack AI Platform Engineer here at Honeywell, you will design, build, and scale AI systems end-to-end - from high-throughput IoT streaming pipelines and knowledge graph infrastructure, through LLM orchestration and RAG services, to the React-based interfaces that surface autonomous insights to plant engineers, facility managers, and OT security analysts. You will work at the intersection of data engineering, machine learning operations, and edge AI - building production-grade infrastructure that processes billions of IoT events from building management systems, deploys models to edge devices, and enables AI-driven applications including predictive diagnostics, energy monitoring, and RAG-based knowledge systems. This is a high-impact individual contributor role for someone who thrives in ambiguity, ships production systems, and can operate across the full stack from cloud-native platforms to edge GPU hardware. You will report to our Sr Data Engineering Manager and work from our Atlanta, GA location on a hybrid basis. • Note: for the first 90 days, new hires must be prepared to work onsite 100% M-F. KEY RESPONSIBILITIES AI/ML Platform Engineering • Develop high-performance, production-ready Python APIs using FastAPI to serve as the primary interface for on-device model inference, • Design, build, and maintain enterprise AI/ML platform services on multi-cloud infrastructure including model deployment, serving and experiment tracking., • Build robust CI/CD stacks to automate the testing of inference logic and the deployment of API services to edge devices., • Implement ML orchestration workflows using LangGraph, MLflow, and custom orchestration layers for multi-agent AI systems., • Develop and integrate AI workloads using ML-Ops and tracing tools like LangSmith., • Design and implement automated data processing pipelines within FastAPI to handle real-time sensor or image inputs for the model., • Bridge the gap between research and deployment by converting code from experimental into modular, maintainable Python packages. Edge AI & Inference • Ability to integrate and run pre-built AI models on local hardware using standard industry runtimes., • Skilled at building the software logic required to process data inputs and handle model outputs efficiently., • Expert at developing Python-based services and automating their deployment to devices via standardized pipelines., • Capable of monitoring and optimizing software to run reliably within strict memory and hardware limitations., • Experience deploying containerized models from Azure to edge devices using Azure IoT Edge or managed online endpoints Data & Knowledge Engineering • Experience building pipelines to structure, clean, and store data for model training or real-time retrieval (RAG) on edge devices, • Ability to convert experimental data processing logic from notebooks into production-ready Python modules., • Design automated workflows to collect, label, and manage datasets, ensuring high-quality data is available for continuous model improvement. Production Operations & Reliability • Own platform reliability for AI services serving multiple business units., • Implement observability, monitoring, and alerting for ML pipelines and inference services., • Drive cost optimization across data platform workloads, cloud compute, and storage infrastructure., • Proficient in using Azure Machine Learning Studio to manage the full lifecycle of models, including registration, versioning, and monitoring. Qualifications YOU MUST HAVE • 8 plus years of experience in software engineering, data engineering, or ML platform engineering., • Strong proficiency in Python and at least one systems language (Python, Go, Rust, C++)., • Deep hands-on experience with cloud-native data platforms (Databricks, BigQuery, Azure Data Lake, Kubernetes)., • Production experience building and deploying ML/AI pipelines including model serving, feature engineering, and experiment tracking., • Experience with LLM application frameworks such as LangChain, LangGraph, and Langsmith or equivalent agentic AI orchestration tools., • Experience with edge AI deployment on NVIDIA Jetson or similar embedded GPU platforms., • Experience with knowledge graphs, ontology engineering, or semantic web technologies. WE VALUE • Bachelor's / Advanced degree in Computer Science, Artificial Intelligence, or related field., • Background in building management systems, HVAC, energy management, or industrial IoT domains., • Strong leadership and management skills., • Experience working in an agile development environment., • Proven ability to drive successful cloud development projects and initiatives., • Ability to work in a fast-paced and dynamic environment., • Attention to detail and excellent problem-solving capability. US PERSON REQUIREMENT Due to compliance with U.S. export control laws and regulations, candidate must be a U.S. Person, which is defined as a U.S. citizen, a U.S. permanent resident, or have protected status in the U.S. under asylum or refugee status, or have the ability to obtain an export authorization. ABOUT HONEYWELL Honeywell International Inc. (NYSE: HON) invents and commercializes technologies that address some of the world's most critical challenges around energy, safety, security, air travel, productivity, and global urbanization. We are a leading software-industrial company committed to introducing state-of-the-art technology solutions to improve efficiency, productivity, sustainability, and safety in high growth businesses in broad-based, attractive industrial end markets. Our products and solutions enable a safer, more comfortable, and more productive world, enhancing the quality of life of people around the globe. Learn more here: https://www.honeywell.com/us/en BENEFITS OF WORKING FOR HONEYWELL In addition to a performance-driven salary, cutting-edge work, and developing solutions side-by-side with dedicated experts in their fields, Honeywell employees are eligible for a comprehensive benefits package. This package includes employer-subsidized Medical, Dental, Vision, and Life Insurance; Short-Term and Long-Term Disability; 401(k) match, Flexible Spending Accounts, Health Savings Accounts, EAP, and Educational Assistance; Parental Leave, Paid Time Off (for vacation, personal business, sick time, and parental leave), and 12 Paid Holidays. For more information: https://benefits.honeywell.com/ The application period for the job is estimated to be 40 days from the job posting date; however, this may be shortened or extended depending on business needs and the availability of qualified candidates. Posting date: 5/21/2026 About Us Honeywell helps organizations solve the world's most complex challenges in automation, the future of aviation and energy transition. As a trusted partner, we provide actionable solutions and innovation through our Aerospace Technologies, Building Automation, Energy and Sustainability Solutions, and Industrial Automation business segments - powered by our Honeywell Forge software - that help make the world smarter, safer and more sustainable.

Job Description Position: Machine Learning Engineer III – AI/ML Product Engineering Location: Atlanta, GA Duration: 5 Months Client: Southern Company Services Southern Company Services is seeking an experienced Machine Learning Engineer III to develop scalable, reusable, and production-grade AI products for deployment across multiple operating companies. This role will focus on Retrieval-Augmented Generation, multi-agent systems, natural language processing, model deployment, and cloud-based AI solutions. The ideal candidate will have strong software engineering skills, hands-on AI/ML experience, and expertise with Azure or Google Cloud Platform. Key Responsibilities · Design and build modular, reusable AI components and services. · Develop scalable RAG solutions using structured and unstructured data. · Engineer multi-agent systems for task coordination, workflow automation, and decision support. · Build transcription and NLP pipelines for customer-interaction analysis. · Develop and fine-tune models using PyTorch, Hugging Face Transformers, LangChain, or similar frameworks. · Package and deploy models using Azure Machine Learning, Google Cloud Platform, or Databricks. · Integrate Databricks for data ingestion, feature engineering, experimentation, and model development. · Develop reusable libraries, APIs, templates, and engineering patterns. · Partner with MLOps, DevOps, data engineering, architecture, and product teams. · Implement monitoring for model performance, data drift, system usage, and operational reliability. · Ensure AI solutions meet enterprise security, privacy, compliance, scalability, and observability requirements. · Provide technical guidance to teams adopting shared AI products and components. Required Qualifications · Strong experience developing and deploying production-grade AI and machine learning solutions. · Hands-on experience with RAG architectures, LLM applications, multi-agent systems, and NLP. · Experience with Azure AI services, Google Cloud Platform AI services, or Azure Machine Learning. · Proficiency with Python and frameworks such as PyTorch, Transformers, or LangChain. · Experience deploying scalable models and AI services in cloud environments. · Knowledge of APIs, software engineering practices, model monitoring, and MLOps. · Experience working with structured and unstructured datasets. · Strong communication, collaboration, analytical, and problem-solving skills. Preferred Qualifications · Experience with Databricks, vector databases, embeddings, and semantic search. · Experience building reusable enterprise AI platforms or shared AI services. · Knowledge of model evaluation, data drift, observability, and responsible AI. · Familiarity with CI/CD, containers, Kubernetes, and cloud-native deployment. · Utility, energy, or regulated-industry experience is preferred.

Job Description Immediate W2 contract position available in Atlanta, GA. Estimated Duration: 5 months Job Description / Desired Qualifications: • 10+ Years' Experience, • A solutions architect selects the best technology solution from among those available to solve existing business problems. Ideal Candidate Profile: • 40% Architecture Leadership, • 40% Hands-On Engineering & Solution Development, • 10% Delivery Planning & Work Allocation, • 10% Operational Support, Escalations & Continuous Improvement Proven experience leading enterprise AI, machine learning, automation, or agentic AI initiatives from design through production deployment., • Strong expertise in AI architecture patterns, LLMs, agent frameworks, RAG architectures, vector databases, APIs, cloud platforms, and enterprise integration strategies., • Hands-on software engineering background with demonstrated experience designing and building production-grade solutions., • Experience leading technical teams, conducting architecture reviews, and governing engineering delivery., • Strong understanding of security, responsible AI, compliance, scalability, observability, and operational support models., • Ability to balance strategic architecture leadership with hands-on engineering execution in a fast-paced delivery environment.Company Description We provide supplemental employees to the region's most sought after power projects. We credit our success to the commitment we show to our job applicants. E Group Recruiters are here to make sure your job search experience is the best it can be. Our recruiters are experts in knowing what the client manager is looking for in a resume, what bill rate the market will bear, and how to make your application stand out among the rest. Our personal touch continues even after we've found the perfect job for you. All full-time employees are eligible to pay for full health and retirement benefits including BC/BS health and dental insurance, life and disability insurances, and 401K with an immediately vested match is available. We have a dedicated team to guide you through these benefits. We provide supplemental employees to the region's most sought after power projects. We credit our success to the commitment we show to our job applicants. E Group Recruiters are here to make sure your job search experience is the best it can be. Our recruiters are experts in knowing what the client manager is looking for in a resume, what bill rate the market will bear, and how to make your application stand out among the rest. Our personal touch continues even after we've found the perfect job for you. All full-time employees are eligible to pay for full health and retirement benefits including BC/BS health and dental insurance, life and disability insurances, and 401K with an immediately vested match is available. We have a dedicated team to guide you through these benefits.

Job Description Senior Enterprise Architect – Shape the Future of Technology Location: Atlanta, GA* (Hybrid Remote) | Position Type: Full-Time Are you ready to take on a career-defining opportunity as the first Senior Enterprise Architect in our organization? This is a rare and exciting "first-to-the-team" role where you will not only lead an architecture team (Data Architecture, System Architecture, Application Architecture) but also build the Enterprise Architecture function from the ground up. As a key strategic leader, you’ll design and implement our technology vision, aligning it with business goals to drive innovation, scalability, and efficiency across the enterprise. This is your chance to make a lasting impact by creating a world-class architecture function that supports a rapidly growing organization. If you’re a trailblazer who thrives in greenfield opportunities, this is the role for you! What You’ll Do Establish and Lead the Enterprise Architecture Function • Develop the organization’s first-ever Enterprise Architecture framework, strategy, and roadmap., • Implement and chair the Architecture Review Board (ARB) to ensure alignment across business and technology., • Define and communicate the technology vision and lead strategic discussions with senior executives, portfolio managers, and stakeholders., • Build and manage a high-performing architecture team, including System Architects and Data Architects. Design Scalable, Future-Ready Solutions • Lead the creation of a robust architectural runway to support Agile Release Trains (ARTs) and Solution Trains., • Partner with Agile Teams, Product Managers, and Solution Architects to define and implement innovative, scalable solutions., • Streamline the technology portfolio by identifying opportunities to reduce complexity, redundancy, and total cost of ownership. Drive Innovation Across the Enterprise • Champion emerging technologies, including Cloud, Big Data, AI, and Machine Learning, to future-proof the organization., • Establish and promote enterprise-wide architectural standards to ensure consistency, quality, and best practices., • Mentor and inspire Agile Teams to adopt Continuous Delivery Pipeline (CDP) and DevOps capabilities. Lead Enabler Epics and Architecture Initiatives • Guide Enabler Epics through the Portfolio Kanban to ensure alignment with business priorities., • Collaborate with cross-functional teams to decompose epics into actionable features and capabilities., • Play a key role in SAFe (Scaled Agile Framework) events such as PI Planning, System Demos, and design reviews. Be a Visionary Leader • Act as a thought leader and advocate for Lean-Agile practices across the organization., • Build and foster a collaborative, innovative culture focused on continuous improvement., • Lead a Community of Practice for architecture and mentor the next generation of technical leaders. What You’ll Bring • Education: Bachelor’s degree in Computer Science, Engineering, or a related field (Master’s degree or certifications like TOGAF, SAFe are a plus)., • Experience: Minimum of 7+ years in enterprise architecture or technology leadership roles, with proven success in creating large-scale architectures., • Technical Expertise: Deep knowledge of Cloud, Big Data, AI, Machine Learning, system integration, IT governance, and application design. Familiarity with platforms like Salesforce, Appian, and Enterprise systems., • Leadership Skills: Demonstrated ability to build and lead teams, influence stakeholders, and drive organizational change., • Framework Knowledge: Experience with SAFe principles and Agile practices., • Communication Skills: Strong verbal and written communication skills to effectively bridge technical and non-technical audiences., • Visionary Mindset: Ability to think strategically, align technology with business goals, and implement solutions that deliver maximum value. Why This Role? This is more than a job; it’s an opportunity to build a legacy. As the first Senior Enterprise Architect in our organization, you will have unparalleled autonomy to shape the future of technology and make a measurable impact. You’ll work alongside forward-thinking leaders in a collaborative, fast-paced environment that values innovation, leadership, and excellence. If you’re ready to lead, build, and innovate, we’d love to hear from you. Apply now to take the next step in your career as a technology trailblazer! *potentially open to remote candidates in EST or CST with willingness to travel as often as monthly

Job Description Who we are With its A.I.-powered robotic technology platform, Symbotic is changing the way consumer goods move through the supply chain. Intelligent software orchestrates advanced robots in a high-density, end-to-end system – reinventing warehouse automation for increased efficiency, speed and flexibility. What we need Symbotic is seeking a Field Engineer to serve as a field leader within our Site Installations organization. This role is responsible for owning the safe, high-quality, on-schedule delivery of Symbotic’s automation installation scope on live customer sites, from mobilization through commissioning readiness. This is not a project coordination role — it is a field leadership role that requires hands-on execution, decision-making under pressure, and the ability to lead multi-discipline, multi-vendor teams in fast-paced construction and startup environments. What we do The Site Installation team is responsible for delivering Symbotic’s automation systems on customer sites — turning engineered designs into fully installed, commissioning-ready operations. The organization oversees the full on-site installation lifecycle, including automation equipment, adapter cells, electrical and controls integration, and coordination with structural, racking, and construction partners. Working in close partnership with Project Management, Engineering, Safety, and Commissioning, the Site Installation team ensures that systems are installed safely, at high quality, on schedule, and within budget, setting each site up for a successful startup and long-term performance. What you’ll do Lead the on-site execution of automation, controls, and adapter-cell installation from mobilization through commissioning readiness. Drive safe, high-quality, on-schedule installation across electricians, controls technicians, commissioning resources, and third-party contractors. Own cell-level readiness for handoff to commissioning with minimal rework and zero safety incidents. Serve as the field authority for Symbotic’s automation installation scope on site. Direct and influence multi-vendor, multi-discipline teams without formal reporting lines. Make real-time decisions when conditions change, issues arise, or schedules are at risk. Identify, escalate, and resolve installation-driven risks impacting schedule, quality, and cost. Own the cost and schedule impact of field changes, rework, and resource tradeoffs within the automation scope. Drive contractor performance, productivity, and accountability. Validate system installation through hands-on field verification, checklists, and performance testing. Ensure each adapter cell and automation area is commissioning-ready with defects resolved and documentation complete. Capture lessons learned and apply them to future sites. Partner closely with the Site Installation Manager, Project Management, Engineering, Safety, and Commissioning to ensure overall site success. Lead automation-specific kickoff meetings, progress reviews, and recovery plans. What you’ll need Bachelor’s degree in engineering discipline or related field required. Minimum of 3 years trade experience in electrical installation, automation installation, industrial automation, robotics/ASRS, or large-scale capital equipment installations required. Demonstrated site-level ownership of live installations that goes beyond participation or coordination Experience leading electrical, controls, commissioning, and third-party installation teams Strong ability to diagnose design vs. process vs. execution issues in the field Proven ability to make decisions, hold teams accountable, and deliver under pressure Strong communication skills with engineers, project managers, customers, vendors, contractors and senior leadership Our Environment Hybrid, travel-based position. Access to major airport preferred. Travel is required up to 80% of the time. Employee must have a valid driver’s license and the ability to drive and/or fly to client and other customer locations. Our main office is in Wilmington, MA. The person taking this position will be required to perform work at our customer installation locations for extended periods of time where equipment is installed and ready for commissioning. The employee is responsible to own a credit card and manage expenses personally to be reimbursed on a bi-weekly basis. The employee is frequently required to walk and reach with hands and arms. The employee is routinely required to work at heights of up to 45 feet and within restrictive areas of 24 inches. to stand; climb or balance and stoop, kneel, crouch, or crawl. The employee must regularly lift and/or move up to 50 pounds. Must comply with all safety requirements and protocols, including without limitation Lock out tag out safety protocols and fall protection safety protocols. Approximately 80% of time will be spent on a construction site with PPE required (hard hat, safety vest, steel toes, eyeglasses, ear protection, fall protection (e.g., safety harness). There will be steep stairs to climb into the structure. You may be required to routinely walk up and down stairs to navigate the automation structure. You will regularly be near railings that are high off the ground. Subject to environmental conditions, protection from weather conditions but not necessarily temperature changes. Must be capable of working in temperatures ranging from 105°ree; to 32°ree; Fahrenheit. #LI-JC1 #LI-Remote About Symbotic Symbotic is an automation technology leader reimagining the supply chain with its end-to-end, AI-powered robotic and software platform. Symbotic reinvents the warehouse as a strategic asset for the world’s largest retail, wholesale, and food & beverage companies. Applying next-gen technology, high-density storage and machine learning to solve today's complex distribution challenges, Symbotic enables companies to move goods with unmatched speed, agility, accuracy and efficiency. As the backbone of commerce the Symbotic platform transforms the flow of goods and the economics of supply chain for its customers. For more information, visit www.symbotic.com. We are a community of innovators, collaborators and pioneers who embrace our differences, because we know unique perspectives make us stronger and smarter. Every perspective matters. We depend on the collective voices of our employees, customers and community to help guide us as we build a better place to work – for you and the world. That’s why we’re proud to be an equal opportunity employer. We do not discriminate based on race, color, ethnicity, ancestry, religion, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, veteran status, or genetic information. The base range for this position in the posted location is $101,000.00 - $138,600.00 however, base pay offered may vary depending on job-related knowledge, skills, and experience. The compensation package includes medical, dental, vision, disability, 401K, PTO and/or other benefits.

Job Description Position: Technical Product Manager III Location: Atlanta, GA Duration: 4 Months Client: Southern Company Services Southern Company Services is seeking an experienced Technical Product Manager III to lead cross-functional technology initiatives from concept through deployment. This role requires strong technical acumen, product ownership experience, and the ability to translate business needs into actionable product requirements and technical deliverables. The ideal candidate will be comfortable working closely with engineering, architecture, and delivery teams while managing product backlogs, priorities, dependencies, and implementation timelines. Key Responsibilities · Lead technology products and implementations from discovery through deployment. · Gather business requirements and translate them into product features, user stories, acceptance criteria, and technical deliverables. · Manage product roadmaps, priorities, backlogs, dependencies, and release plans. · Partner with engineering teams, architects, business leaders, and executive stakeholders. · Facilitate process discovery, future-state design, and business transformation workshops. · Support Agile ceremonies, sprint planning, backlog refinement, and delivery tracking. · Manage multiple workstreams and resolve delivery risks, issues, and dependencies. · Use data, user feedback, and experimentation to guide product decisions. · Promote user-centered design, process optimization, and continuous improvement. · Ensure solutions align with enterprise security, governance, compliance, and architecture standards. Required Qualifications · 5+ years of experience as a Product Manager, Product Owner, Business Analyst, Scrum Master, Delivery Lead, or similar role. · Experience leading cross-functional technology implementations. · Strong knowledge of Agile, Scrum, product backlog management, and software delivery. · Experience translating business requirements into technical solutions. · Strong organizational, facilitation, communication, and stakeholder-management skills. · Ability to manage multiple priorities, workstreams, and delivery timelines. · Ability to influence teams and drive results without direct authority. Preferred Qualifications · Experience delivering AI, Generative AI, machine learning, automation, or data and analytics solutions. · Familiarity with Azure, Google Cloud Platform, or related cloud and AI technology stacks. · Scrum Master or Product Owner certification, such as CSM, PSM, CSPO, or PSPO. · Experience working within enterprise governance, security, and compliance frameworks. · Knowledge of design thinking, process optimization, and business-process reengineering. · Utility, energy, or regulated-industry experience is preferred.

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., • Translate complex analytical results into clear, strategic business insights. Required Qualifications • 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 DescriptionAbout GAINSGAINS is on a mission to make supply chains smarter, faster, and self-improving, powered by AI. Our Decision Engineering & Orchestration (DEO) platform doesn't just support decisions, it drives them by aligning strategy, planning, and execution across every level of the supply chain. We serve inventory-intensive industries where the stakes are high and the complexity is real, helping customers move from reactive, spreadsheet-driven planning to continuously learning, AI-led operations that deliver measurable results fast. At GAINS, we call it Moving Forward Faster, and it's not a tagline, it's how we're redefining what's possible in supply chain decision-making. Job Summary: We are seeking a talented and motivated Operations Research Engineer to join our team. In this role, you will leverage your expertise in operations research, mathematical modeling, and optimization techniques to design and implement solutions that enhance the efficiency and performance of our supply chain software products. You will work closely with cross-functional teams, including software developers, data scientists, and product managers, to deliver impactful solutions that drive value for our customers. Key Responsibilities: • Model Development: Develop, validate, and maintain mathematical models and algorithms for optimizing supply chain operations, including inventory management, demand forecasting, production planning, and logistics., • Optimization & Simulation: Design and implement optimization and simulation tools to solve complex supply chain problems, ensuring that solutions are scalable and efficient., • Data Analysis: Analyze large datasets to identify trends, patterns, and opportunities for improvement within supply chain processes. Use statistical and machine learning techniques to enhance model accuracy., • Software Integration: Collaborate with software developers to integrate models and algorithms into our supply chain software platform, ensuring seamless functionality and performance., • Customer Support: Work with the customer support team to troubleshoot and resolve any issues related to optimization models and algorithms used by our clients., • Continuous Improvement: Stay updated on the latest advancements in operations research, optimization, and supply chain management. Propose and implement improvements to existing models and processes., • Documentation: Prepare detailed technical documentation for models, algorithms, and software modules, ensuring that they are well-documented and easy to understand for internal and external stakeholders., • Project Management: Lead or participate in project teams, ensuring that deliverables are met on time and within scope.Qualifications:, • Education: Master’s in Operations Research, Industrial Engineering, Applied Mathematics, or a related field., • Experience: 3+ years of experience in operations research, optimization, or a related role, preferably within the supply chain or logistics domain., • Technical Skills:, • Proficiency in mathematical modeling and optimization techniques (e.g., linear programming, integer programming, stochastic modeling)., • Strong programming skills in languages such as Python, C++, or Java., • Experience with optimization solvers (e.g., Gurobi, CPLEX) and simulation tools., • Familiarity with supply chain management principles and practices., • Analytical Skills: Strong problem-solving abilities with the capacity to analyze complex systems and datasets., • Communication Skills: Excellent written and verbal communication skills, with the ability to convey technical concepts to both technical and non-technical audiences., • Teamwork: Ability to work effectively in a collaborative, cross-functional team environment., • Adaptability: Willingness to learn and adapt to new challenges and technologies.Preferred Qualifications:, • Experience with machine learning techniques applied to supply chain problems., • Familiarity with cloud computing platforms (e.g., AWS, Azure) and big data technologies., • Experience in the software development lifecycle, including version control and agile methodologies. GAINS may use artificial intelligence (AI) tools to assist in screening and/or assessing applications during the recruitment process. All hiring decisions are made by our team. Personal information submitted through your application will be collected and used for recruitment purposes in accordance with applicable privacy laws. Contact us at any time with questions about our process or to request an accommodation. The recruitment team can be reached at: HR@GAINSystems.com. We are committed to equal employment opportunity and welcome everyone regardless of race, color, ancestry, religion, national origin, age, sex, gender identity, sexual orientation, disability, marital status, domestic partner status, veteran status or medical condition. We encourage people from all backgrounds to apply. Powered by JazzHR 6fcb795zgl

Job DescriptionData Scientist (5–10 Years Experience)Overview: A Data Scientist with 5 to 10 years of experience is responsible for leveraging data to uncover insights, create predictive models, and drive data-driven decision-making within an organization. This role requires advanced analytics, machine learning expertise, and strong problem-solving skills to extract actionable intelligence from large and complex datasets. Key Responsibilities: 1. Data Analysis: Collect, clean, and analyze complex datasets to uncover trends, patterns, and actionable insights. Apply statistical techniques to derive meaningful information for business strategies. 1. Predictive Modeling: Develop and deploy machine learning models to forecast future trends, behaviors, and outcomes. Utilize techniques such as regression analysis, classification, and clustering. 1. Data Visualization: Create compelling visualizations using tools like Tableau, Power BI, and Python libraries (e.g., Matplotlib, Seaborn). Effectively communicate insights to both technical and non-technical stakeholders. 1. Hypothesis Testing: Formulate and test hypotheses to statistically validate business decisions and recommendations. 1. Feature Engineering: Engineer and select relevant features to optimize the performance of machine learning models. 1. Algorithm Development: Build and fine-tune machine learning algorithms such as decision trees, random forests, and neural networks. 1. Data Integration: Collaborate with IT and database administrators to access and integrate data from multiple sources and data warehouses. 1. Model Deployment: Deploy machine learning models into production environments to support real-time analytics and decision-making. 1. A/B Testing: Design and evaluate A/B tests to assess the impact of process or product changes. 1. Data Ethics: Ensure data handling practices meet ethical standards, including privacy and compliance with regulations. 1. Cross-functional Collaboration: Work closely with engineers, business analysts, and domain experts to align data initiatives with business goals. 1. Mentorship: Provide guidance and mentorship to junior data scientists and analysts to support team development. 1. Continuous Learning: Stay updated on the latest data science tools, trends, and best practices through professional development. Qualifications: Education: Bachelor’s degree in a quantitative field (e.g., Computer Science, Statistics, Mathematics, Engineering). Master’s or Ph.D. is a plus. Experience: 5 to 10 years in data science, with experience in machine learning and statistical analysis. Programming Languages & Tools: Proficiency in Python, R, or Julia. Visualization Tools: Experience with Tableau, Power BI, and Python visualization libraries (Matplotlib, Seaborn). Database Skills: Strong understanding of databases and SQL-based data manipulation. Additional Skills: Advanced problem-solving and critical thinking abilities. Strong communication skills for conveying technical findings to diverse audiences. Familiarity with big data and distributed computing frameworks (e.g., Hadoop, Spark) is a plus. Awareness of data ethics and regulatory compliance.

Job Description Who are we? A strategic and trusted insurance partner, Berkshire Hathaway Specialty Insurance (BHSI), provides a broad range of commercial property, casualty and specialty insurance coverages and outstanding service to customers and brokers around the world. Part of Berkshire Hathaway’s insurance operations, we bring our solutions to market with our stellar brand name, top-rated balance sheet, and the expertise of our global team of professionals, who exude excellent capabilities and strong character. We are a values-based organization where respect, integrity, excellence, collaboration, and passion define who we are and how we do business. We value diversity of backgrounds, experience, and perspectives and strive to foster an inclusive environment that enables all our team members to bring their best selves to work. We are one team committed to building a culture where every teammate has the opportunity to contribute and be recognized. Want to be part of the team building the finest property, casualty and specialty lines insurance company in the world? Learn more about our unique culture and history. Job Opportunity: Berkshire Hathaway Specialty Insurance (BHSI) has an exciting opportunity for Data Scientist / Senior Data Scientist to join the Catastrophe Engineering and Analytics (CAT E&A) team. CAT E&A is an innovative and versatile technical team conducting catastrophe risk research and development and providing complex quantitative metrics that inform underwriting decisions across multiple lines of business. The successful candidate will be responsible for identifying and applying cutting-edge data science techniques to build a better view of the risk for multiple perils. You will work across functional areas and perils within the team, supporting the development of models for various natural catastrophes, natural hazards, building vulnerability, and man-made risks such as cyber, casualty, among others. In addition, you will conduct in-depth evaluation of vendor models, research and develop internal views of exposure and risks, consult on account-specific risk analyses, and develop internal tools to facilitate account underwriting decision-making and other related activities. Duties & Responsibilities: • Evaluate and develop insights into large and diverse data sets from claims, hazard models, structural analysis, geospatial sources, and various other public/proprietary datasets., • Develop and maintain expertise in advanced data science, machine learning, and artificial intelligence techniques, and their application to understanding risk., • Work with domain experts across teams and perils to enhance our use of available data., • Propose and execute innovative solutions to insurance problems that directly impact BHSI underwriting decisions. Qualifications, Skills and Experience: Educational Background • Advanced degree (Master's or Ph.D.) in Statistics, Actuarial Science, Applied Mathematics, Data Science, Engineering, or other equivalent quantitative discipline., • Strong academic foundation in probability theory, statistical inference, stochastic processes, and Bayesian statistics. Technical & Analytical Skills • Deep expertise in probability models commonly used in insurance (e.g., frequency–severity models, GLMs, loss distributions)., • Strong applied statistics skills for:, • Risk modeling, • Predictive analytics, • Pricing & underwriting analytics, • Catastrophe exposure analysis, • Proficiency in statistical and machine learning techniques, including:, • Regression (GLM, GAM, GAMMs), • Time-series forecasting, • Gradient boosting, random forests, and other tree-based models, neural networks models, • Clustering and segmentation, • Bayesian methods, • Hands-on experience with key programming tools:, • Python (NumPy, pandas, scikit-learn; PyTorch/TensorFlow a plus), • R (actuarial/statistical packages), • SQL for data extraction and manipulation, • Familiarity with Git and Docker is a plus, • Experience with big data and distributed computing (e.g., Spark, Databricks, AWS/GCP/Azure) is a plus. Preferred Domain Knowledge in Risk Modeling • Strong understanding of property & casualty insurance, including:, • Exposure modeling, • Loss distributions (e.g., Pareto, lognormal, gamma), • Catastrophe risk concepts and tail modeling, • Portfolio risk aggregation, reinsurance structures, and risk metrics (AAL, PML, TVaR) Data Skills • Ability to work with large structured and unstructured datasets., • Expertise in data cleaning, transformation, and feature engineering., • Experience building automated data pipelines and scalable model workflows. Modeling & Communication • Ability to translate complex statistical concepts into actionable business insights., • Experience communicating results clearly to actuaries, underwriters, executives, and non-technical stakeholders., • Strong documentation and model governance discipline. Professional Competencies • Curious, analytical thinker with strong problem-solving ability., • Ability to work independently in ambiguous problem spaces., • Collaborative mindset — comfortable partnering with actuaries, underwriters, portfolio managers, and engineers. BHSI Offers: • A competitive package and exciting growth opportunities for career-oriented teammates., • A dynamic, action oriented, and thoughtful environment centered on always doing the right thing for our customers, teammates, and our other stakeholders., • A purposely non-bureaucratic organization that embraces simplicity over complexity and emphasizes individual excellence in a team framework., • Benefits that support your life and well-being, which include:, • Comprehensive Health, Dental and Vision benefits, • Disability Insurance (both short-term and long-term), • Life Insurance (for you and your family), • Accidental Death & Dismemberment Insurance (for you and your family), • Flexible Spending Accounts, • Health Reimbursement Account, • Employee Assistance Program, • Retirement Savings 401(k) Plan with Company Match, • Generous holiday and Paid Time Off, • Tuition Reimbursement, • Paid Parental Leave The base salary range for this position in Atlanta, GA, Boston, MA, or San Ramon, CA is $100,000 to $160,000, along with annual bonus eligibility. Total compensation for a candidate is determined by their relevant skills, location, and experience. We value our teammates – both their capabilities and character – as demonstrated by our amazing culture. NOTE: Compensation will be commensurate with experience. This job description is not intended to be all-inclusive. Team Member may perform other related duties as negotiated to meet the ongoing needs of the organization.

Job Description About the Team: The Sensors Division at STR focuses on technology development for advanced sensor systems and platforms in support of national security requirements. Our particular focus areas include airborne/spaceborne/surface-based radar, electronic warfare, underwater acoustics, hyperspectral imaging, and EO/IR sensing. To support these missions, the Division's efforts span multiple technical areas, including RF analog/digital hardware, acoustic hardware, signal processing algorithms, machine learning algorithms, systems analysis, and real-time embedded processor implementation. The Algorithms, Processing and Experimentation (APEX) Group specializes in development of RF/radar modes, skills and applications, with particular emphasis on advanced signal processing chains and associated algorithm research. We mature these technologies with the objective of implementation, integration, and eventual utility in RF-based systems, typically tailoring our work for highly specific Defense (e.g., Air Force, Space Force, Navy, DARPA, etc.) and Intelligence Community needs. About the Role: As a Lead Signal Processing Researcher, you will create and lead technical teams that develop, test, integrate, and demonstrate novel signal processing, optimization, and machine learning algorithms for advanced electronic warfare and sensor applications. A successful candidate will have demonstrated leadership skills and substantial expertise in several of the following areas: optimization, electronic warfare, adaptive signal processing, machine learning, algorithm development, algorithm integration, test & evaluation, model & simulation, systems engineering, radar systems, or communications systems. This position requires skills working as part of and leading multi-disciplinary teams designing, analyzing, integrating, and demonstrating signal processing algorithms for complex systems. What you will do: • Develop electronic warfare and radar system concepts, signal processing and machine learning algorithms, and RF solutions to remote sensing challenges, • Provide technical leadership to small, multi-disciplinary teams that develop, implement, test, and integrate novel sensing, electronic warfare, and signal processing systems, • Direct Modeling and Simulation activities of advanced RF systems in support of algorithm development, test, and integration, • Plan and support algorithm test and evaluation activities, including performance assessment in laboratory and field environments, • Clearly communicate with customers, stakeholders, sponsors, prime- and subcontractors Who you are: • Active Security Clearance, with eligibility to support special access programs, for which US Citizenship is required by the US government, • PhD, MS, or BS in Electrical Engineering, Applied Mathematics, Physics, or related technical discipline with 3-8+ years of relevant experience depending on degree, • Strong scientific programming skills including Matlab, Python, Simulink and/or C/C++, • Strong communication skills and the ability to describe complex technical concepts to fellow researchers as well as to non-technical people, • Ability to translate customer requirements to determine research focus, • Ability to create and present deep technical briefings as well as high-level briefings to Customers and senior management, • Experience with designing, implementing, testing, and analyzing ML/AI algorithms, • Strong understanding of radar architectures, waveforms, modes, and RF signal chains Even Better: • Current TS/SSBI with SCI and ability to gain and hold SCI/SAP accreditations, • Experience with advanced RF system concepts, signal processing, open architectures, and systems integration, • Experience in Software Development, • Ability to survey literature to determine state-of-the-art, incorporate recent research, and transition it into integrated, tested solutions, • Understanding and experience interacting with decision-makers and customers to translate mission needs into an end-to-end, integrated analytical solution Pay Information Full-Time Salary Range: $173,000 - $216,000 The salary range listed is based on external market data. Offers are based on factors, such as but not limited to, the candidate's experience, education, training, key skills/critical skills, security clearances, and prevailing market and business conditions. STR is a growing technology company with locations near Boston, MA, Arlington, VA, near Dayton, OH, Melbourne, FL, and Carlsbad, CA. We specialize in advanced research and development for defense, intelligence, and national security in: cyber; next generation sensors, radar, sonar, communications, and electronic warfare; and artificial intelligence algorithms and analytics to make sense of the complexity that is exploding around us. STR is committed to creating a collaborative learning environment that supports deep technical understanding and recognizes the contributions and achievements of all team members. Our work is challenging, and we go home at night knowing that we pushed the envelope of technology and made the world safer. STR is not just any company. Our people, culture, and attitude along with their unique set of skills, experiences, and perspectives put us on a trajectory to change the world. We can't do it alone, though - we need fellow trailblazers. If you are one, join our team and help to keep our society safe! Visit us at www.str.us for more info. STR is an equal opportunity employer. We are fully dedicated to hiring the most qualified candidate regardless of race, color, religion, sex (including gender identity, sexual orientation and pregnancy), marital status, national origin, age, veteran status, disability, genetic information or any other characteristic protected by federal, state or local laws. If you need a reasonable accommodation for any portion of the employment process, email us at appassist@str.us and provide your contact info. Pursuant to applicable federal law and regulations, positions at STR require employees to obtain national security clearances and satisfy the requirements for compliance with export control and other applicable laws.

Job Description Join Our Team as a Financial Planning and Analysis Manager Company: COREFORCE Location: Atlanta (Hybrid) Job Type: Full-time Salary: $120-150k Position Summary We are seeking a highly analytical, strategic, and technology-forward FP&A Manager to lead financial planning, forecasting, modeling, and strategic analysis for our growing SaaS and Hardware-as-a-Service (HaaS) organization. This individual will serve as a trusted advisor to the CFO and executive leadership team, providing financial insights that drive profitable growth, improve operational performance, and support strategic decision-making. The ideal candidate combines exceptional financial modeling expertise with a passion for leveraging AI, automation, and modern analytics to transform finance into a highly efficient, data-driven business partner. This role requires an individual who is equally comfortable building sophisticated financial models from scratch, presenting to executive leadership, and identifying opportunities to automate and modernize finance processes through artificial intelligence and emerging technologies. Essential Duties and Responsibilities The essential functions include, but are not limited to the following: Financial Planning & Analysis • Lead the annual operating plan, quarterly forecasting process, long-range planning, and monthly financial reviews., • Own company-wide budgeting, forecasting, and financial planning processes., • Develop monthly, quarterly, and annual executive reporting packages., • Perform detailed variance analysis against budget, forecast, prior year, and strategic plan., • Develop financial insights that improve operational performance and support executive decision-making., • Partner closely with Accounting to ensure consistency between financial reporting and forecasting. Strategic Financial Modeling (Expert-Level) Serve as the organization's financial modeling expert. Responsibilities include developing sophisticated, scalable financial models that support strategic planning and executive decision-making, including: • Build and maintain sophisticated three-statement financial models with scenario, sensitivity, and driver-based forecasting capabilities., • Develop detailed ARR, MRR, churn, CAC, LTV, bookings, and cohort analysis models., • Model hardware deployment economics, inventory investments, leasing structures, warranty exposure, and margin optimization., • Support strategic initiatives including pricing analysis, capital allocation, market expansion, financing activities, and M&A evaluations., • Conduct ad hoc analyses to support executive decision-making. AI, Automation & Finance Transformation Lead the Finance organization's adoption of Artificial Intelligence and automation technologies. Responsibilities include: • Leverage AI tools to improve forecasting accuracy and financial analysis., • Develop AI-assisted forecasting methodologies using historical data, operational drivers, and predictive analytics., • Utilize generative AI to accelerate financial reporting, executive summaries, board presentations, and business analyses., • Design automated reporting workflows that reduce manual effort and improve reporting speed., • Evaluate emerging AI technologies and recommend solutions that improve Finance productivity., • Create standardized AI prompts, workflows, and best practices for the Finance team., • Identify repetitive finance activities suitable for automation., • Partner with IT and Business Systems to integrate AI capabilities into Finance processes., • Develop predictive analytics supporting revenue growth, customer retention, and operational efficiency., • Utilize AI to identify trends, anomalies, financial risks, and business opportunities., • Improve forecast accuracy through machine learning concepts and advanced statistical techniques where appropriate., • Champion responsible AI governance by ensuring data quality, transparency, and financial accuracy., • Stay current on emerging AI technologies and continuously identify opportunities to modernize the Finance organization. Systems & Business Intelligence • Improve financial reporting processes through automation., • Build scalable Power BI dashboards and executive scorecards., • Develop self-service reporting capabilities., • Partner with Accounting to improve ERP reporting., • Improve financial data quality and governance., • Optimize planning systems and reporting tools., • Build automated reporting processes that minimize manual spreadsheet work. Minimum Qualifications (Knowledge, Skills, and Abilities) • Bachelor's degree in Finance, Accounting, Economics, or related discipline., • 5 - 8+ years of progressive FP&A, Corporate Finance, Investment Banking, Strategic Finance, or Financial Consulting experience., • Experience within SaaS, HaaS, technology, subscription, or high-growth businesses., • Advanced Microsoft Excel expertise., • Expert financial modeling skills., • Strong understanding of financial statements and GAAP., • Exceptional analytical and problem-solving abilities., • Excellent written and verbal communication skills Preferred • MBA and/or CPA., • Experience in private equity-backed companies., • Experience with NetSuite., • Experience with Power BI or Tableau., • Experience with Adaptive Planning, Anaplan, or similar FP&A platforms., • SQL, Python, or Power Query experience., • Experience working with ERP implementations., • Experience supporting acquisitions and integrations. AI & Technology Qualifications Candidates should demonstrate experience leveraging modern AI and analytics tools in a professional Finance environment. Preferred experience includes: • ChatGPT Enterprise, Microsoft Copilot, Claude, or Gemini, • AI-enabled forecasting platforms, • Power Automate, • Workflow automation platforms, • API integrations, • Business Intelligence platforms, • Predictive analytics, • Data visualization, • Prompt engineering for business applications, • AI governance and responsible use of artificial intelligence Physical Demands and Work Environment The physical demands described here must be met by an employee to perform the essential functions of this position successfully. Reasonable accommodation may be made to enable individuals with disabilities to perform these functions. This role requires the employee to have the ability to maintain a stationary and upright position regularly. Regular movement within the office is required to access file cabinets, office machinery, and other resources. This role involves the continuous operation of a computer and other office productivity machinery, and tools, including a printer, and computer. Regularly, the employee changes their body position to assist in moving objects or gaining access to items. The capacity to convey information and concepts effectively for mutual understanding must be possessed by the employee. They must also possess the capability to share precise details during such interactions. Specific vision capabilities, particularly the ability to observe details at close range (within a few feet of the observer), are essential for performing tasks accurately. This role involves the occasional transportation of boxes weighing up to 10 pounds throughout the office to fulfill diverse demands. Note This job description in no way states or implies that these are the only duties to be performed by the employee(s) incumbent in this position. Employees will be required to follow any other job-related instructions and to perform any other job-related duties requested by any person authorized to give instructions or assignments. All duties and responsibilities are essential functions and requirements and are subject to possible modification to reasonably accommodate individuals with disabilities. To perform this job successfully, the incumbents will possess the skills, aptitudes, and abilities to perform each duty proficiently. Some requirements may exclude individuals who pose a direct threat or significant risk to the health or safety of themselves or others. The requirements listed in this document are the minimum levels of knowledge, skills, or abilities. This document does not create an employment contract, implied or otherwise, other than an “at will” relationship. Coreforce is an Equal Opportunity Employer, drug free workplace, and complies with ADA regulations as applicable. The companies in the Coreforce organization are innovative technology leaders, delivering groundbreaking digital systems tailored for frontline professionals who rely on speed, accuracy, easy-to-access data, and transparency in their work. Coreforce is an equal-opportunity employer that promotes justice, advances equity, values diversity, and fosters inclusion. Coreforce is committed to hiring the best talent – regardless of race, creed, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, genetic information, veteran status, or any other characteristic protected by applicable laws, regulations, and ordinances.

Job Description Position: Solution Architect IV – AI & Automation Location: Atlanta, GA Duration: 5 Months Client: Southern Company Services Southern Company Services is seeking an experienced Solution Architect IV to lead the design, development, and production deployment of enterprise AI, machine learning, automation, and agentic AI solutions. This role combines architecture leadership with hands-on engineering. The ideal candidate will define technical standards, build production-grade solutions, guide engineering teams, and ensure systems meet enterprise requirements for security, scalability, compliance, responsible AI, observability, and operational support. Key Responsibilities · Design enterprise AI, machine learning, automation, and agentic AI solutions. · Develop architectures for LLM applications, AI agents, RAG solutions, vector databases, APIs, and enterprise integrations. · Build and support production-grade software solutions and reusable technical components. · Lead architecture reviews and provide technical direction to engineering teams. · Partner with product, engineering, cloud, data, cybersecurity, and business stakeholders. · Create solution designs, technical specifications, implementation plans, and engineering standards. · Support delivery planning, work allocation, risk management, and production escalations. · Ensure solutions align with enterprise security, governance, compliance, scalability, reliability, and observability standards. Required Qualifications · 10+ years of experience in solution architecture, software engineering, or enterprise architecture. · Experience leading enterprise AI, machine learning, automation, or agentic AI initiatives from design through deployment. · Strong expertise in LLMs, AI agent frameworks, RAG, vector databases, APIs, cloud platforms, and enterprise integration. · Hands-on experience designing and building scalable, production-grade applications. · Experience leading technical teams and conducting architecture reviews. · Strong understanding of responsible AI, cybersecurity, compliance, observability, and operational-support models. · Strong communication, leadership, and problem-solving skills. Preferred Qualifications · Experience with Azure, AWS, or Google Cloud Platform. · Familiarity with containers, Kubernetes, microservices, CI/CD, and API management. · Experience with AI governance, model evaluation, monitoring, logging, and performance optimization. · Utility, energy, or regulated-industry experience is preferred.

Job DescriptionCareer Renew is recruiting for one of its clients a Senior Machine Learning Engineer - this is a fully remote role for US/Canada based candidates. Salary range: 165-225K USD yearly plus benefits plus equity.We are the leading virtual staining company revolutionizing digital pathology adoption worldwide through cutting-edge AI-powered technology. Our solutions deliver diagnostic-quality results in minutes while preserving tissue samples for comprehensive analysis. Our breakthrough DeepStain™ and ReStain™ technologies enable unlimited virtual staining from a single tissue sample, eliminating the bottlenecks and limitations of traditional chemical staining processes. This innovation supports the critical evolution from research applications to clinical deployment, empowering laboratories to advance their digital pathology capabilities while reducing chemical waste, improving operational efficiency, and expanding diagnostic possibilities. About the Role We are seeking an experienced Senior ML Engineer to join our team who owns the representation-learning and generative modeling stack that powers Pictor’s virtual staining. The ideal candidate will have deep expertise in Machine Learning and building generalizable, production-ready models, and evaluations that stand up in clinical workflows. Design and implement novel computer vision and deep learning algorithms for virtual staining and digital pathology applications Conduct rigorous experiments to evaluate algorithm performance, validate research hypotheses, and drive iterative improvements Develop and advance ML models leveraging Vision Transformers, Diffusion Models, GANs, and generative architectures for image-to-image translation tasks Apply classical and learned image enhancement, denoising, and semantic segmentation techniques to histopathology imaging challenges Explore image representation in latent space for efficient, high-fidelity virtual staining Stay current with state-of-the-art research, identifying opportunities to apply novel techniques to PictorLabs’ product roadmap Collaboration Collaborate with ML Engineering and software teams to translate research prototypes into production-ready systems meeting latency and throughput requirements Work with large-scale pathology datasets to train, validate, and fine-tune foundation models and custom architectures Partner with software engineers, data scientists, and pathology domain experts to integrate research into production systems Contribute to best practices for data engineering, data governance, and data quality across research and production pipelines Leverage AI coding and ideation tools to accelerate research velocity and prototype new approaches Required Qualifications PhD (preferred) or Master’s degree in Computer Science, Electrical Engineering, or a related field Deep expertise in computer vision and deep learning, with hands-on experience in one or more of: Vision Transformers, Diffusion Models, GANs, semantic segmentation, or classical image enhancement and denoising Expert proficiency in Python and PyTorch and other scientific computing environments a plus Strong mathematical foundation in linear algebra, probability, and optimization Experience with large-scale model training, distributed computing, or cloud ML infrastructure (AWS, GCP, or Azure) Knowledge of handling large scale image data, data version controls, model registry, has experience dealing with ML lifecycles Experience with feature search, data balancing, and data curation pipelines. Knowledge of software engineering best practices including version control (Git) and CI/CD pipelines Excellent collaboration and communication skills, with the ability to work effectively in a fast-paced, cross-functional international startup environment Extensive use of AI tools for coding, optimization, and ideation Preferred Qualifications Experience with medical imaging, digital pathology, or whole slide image (WSI) processing Experience with LoRAs, transformer architecture and state of the art image to image translation models (Flux 2, Z-Image) and the Hugging face ecosystem Background in generative models and fine-tuning of foundation models Experience with GPU acceleration and optimization, including CUDA kernel engineering, TensorRT/ONNX export, and inference serving frameworks such as Triton Experience with hosting computer vision model inference on NVIDIA DGX Spark. Understanding of FDA regulatory requirements for AI/ML in medical devices Experience with MLOps tools (MLflow, Kubeflow) and model versioning practices Develop tools and frameworks to streamline ML research workflows, experimentation, and reproducibility What We Offer The opportunity to work on technology that directly improves patient outcomes and transforms clinical diagnostics, alongside a talented team of engineers and researchers pushing the boundaries of AI in healthcare. You will have the freedom to pursue high-impact research while seeing your work deployed at scale in real clinical environments.

Job Description Job Purpose Develop and execute the company’s EHS strategy across all manufacturing sites, ensuring regulatory compliance, minimizing risk, and building a proactive safety and environmental culture. Drive management system maturity, inclusive of process safety where applicable, and operational discipline, while enabling business growth and productivity. Partner closely with Operations, site EHS managers and coordinators, Engineering, HR, Legal, and FSQ to align EHS with quality and business objectives. Essential Functions • Strategy and Governance, • Align with company strategy, aligned to business growth, and focus on personal teammate and contractor safety, • Own EHS Policy, standards, playbooks, and governance cadence (monthly reviews, quarterly board updates), • Lead Culture of Safety program: leadership behaviors, recognition, safety Gemba/walks, employee engagement, • Integrate EHS into business processes (design reviews, capex, sourcing, contractor management, change management), • Evaluate safety risks as part of capital project reviews and contractor approvals, • Ensure compliance with federal, state, and local requirements (e.g., OSHA, EPA [CAA/CWA/RCRA], DOT, TSCA; local/state air/water/waste permits; emergency planning/EPCRA), • Maintain legal register and compliance calendar; implement permit tracking and renewal processes, • Standardize procedures across sites; deploy internal audits; close gaps with RCA, CAPAs, and verification, • Direct the day-to-day and long-term priorities of the Environmental Health & Safety Managers, • Implement risk frameworks (JHAs/JSAs, bowtie analysis, LOTO, machine guarding, confined space, hot work), • Lead Process Safety Management (PSM/RMP) where applicable: PHAs/HAZOPs, MOC, MI, operating procedures, training, emergency planning, and compliance audits, • Establish corporate criteria for inherently safer design and high-risk task management (e.g., working at heights, powered industrial trucks, energy isolation), • Manage air, water, and waste programs: SPCC, stormwater, wastewater pre-treatment, hazardous/non-hazardous waste, recycling/reuse, • Drive reduction roadmaps (injury rates, spills, waste intensity, water use, energy/GHG) with data-backed targets, • Support ESG disclosures and assurance (e.g., GHG Scope 1/2 baseline, materiality inputs, audit trails), • Safety, • Standardize reporting and investigation (e.g., 24-hr notification, root cause using 5-Whys), with systemic corrective actions, • Lead serious incident/near-miss reviews and learning teams; track effectiveness of CAPAs and share learnings networking, • In partnership with Operations and FSQ, build role-based safety curricula (leadership, supervisor, operator, maintenance, contractors) with annual refreshers, • Ensure qualification on critical procedures (LOTO, confined space, PIT, chemical handling, PSM elements), • Embed EHS expectations into onboarding, performance management, and leadership development, • Own corporate safety audit program (risk-based cadence: high/medium/low sites); verify closure and sustainment (in partnership with 3rd party vendors), • Standardize leading/lagging metrics and dashboards (e.g., TRIR, DART, severity, LTIR, high-potential near misses, PSM Tier 1/2, emissions/waste intensity), • Select and administer EHS software (incident management, action tracking, permits, training LMS, document control, SDS, air/water/waste tracking), • Emergency Preparedness, • Standardize ERP (site and corporate): drills, ICS roles, crisis communications, liaise with local authorities, • Align with business continuity planning: utility failures, severe weather, supply disruptions, cyber-physical events, • Partner with FSQ to align sanitation chemicals, allergen/chemical controls, foreign material risk, pest services, and hygienic zoning with EHS controls, • Collaborate with HR (wellness/RTW), Engineering (design standards), Operations (daily management), Legal (regulatory strategy), Procurement (supplier safety), IT (EHS systems), R&D (approval of ingredients and risk analysis), • Identify hazards and oversee occupational safety and health matters related to facility personnel, • Inspect work areas and machinery at sites for compliance with OSHA and all other regulations, • Develop and implement a zero-incident culture by building initiatives and events including education, incident prevention, and safety awareness, • Actively lead the investigation, documentation, and analysis of accidents and injuries, • Maintain good relationships with Workers’ Compensation and manage claims, including return-to-work practices, • Act as consultant to management in health, ergonomic, and safety-related issues, • Environmental, • Anticipate, identify, and evaluate hazardous conditions and environmental risks, • Assess environmental impacts of products, facilities, and operation, • Keep apprised of developments in state and federal EHS regulations likely to affect the company, • Manage environmental efforts to proactively reduce emissions and waste generation, • Provide recommendations for control and correction of environmental issues, and assist sites with the development of corrective actions, • Governance, • Ensure compliance with all applicable health, safety, and environmental legislation, • Support food safety program, quality standards, and legality of manufactured products, • Perform other job-related duties as assigned Qualifications (Education, Experience, Competencies) • Bachelor’s degree in environmental health & safety or related field; or equivalent work experience, • CSP or CHCM certifications preferred, • 10+ years of experience working in safety training, program creation and implementation, and hazard assessment in a large manufacturing setting, • Experience in the food industry desired, • Working knowledge of federal and state regulations with respect to OSHA, Worker’s Compensation, ADA, EPA regulations, and other applicable acts, • Proficient in Microsoft Office, • Excellent written and verbal communication skills with the ability to effectively communicate at all levels of the company and with outside professionals, • Strong leadership skills with the ability to cultivate a positive and collaborative work environment, • Ability to work irregular hours including evenings and weekends to accommodate the needs of a manufacturing operation MON123 RISE123

Job DescriptionDescriptionThought Logic Consulting is a functionally-led, digitally enabled consultancy that exists at the intersection of business transformation and technology innovation. We partner with clients to solve their most complex business problems and we do it in a highly collaborative, local-market approach, giving clients senior-level attention and giving our consultants room to grow, lead, and build. The Role We are looking for an analytically strong and motivated Consultant with 2–3 years of experience (or a recent MS/MBA graduate with a concentration in Data, Technology, AI, or a related field) to join our growing Data & AI practice based in Atlanta, GA. In this role, you will support senior consultants on client engagements by conducting research and benchmarking, documenting stakeholder interviews, developing strategy and governance artifacts and deliverables, and helping clients build the operational foundations for responsible AI adoption at scale. You will gain hands-on exposure to enterprise AI governance, operating model design, and cross-functional stakeholder engagement while building your consulting skills in a collaborative, client-facing environment. What You'll Do • Support current-state discovery by conducting research and benchmarking to assess AI maturity and industry positioning, • Support intake and prioritization as well as the development of frameworks to facilitate it through data gathering and analysis, • Synthesize findings into structured insights, reports, and recommendations, • Develop executive-ready deliverables including process maps, workflow diagrams, RACIs, roadmaps, presentations, and summaries, • Support stakeholder alignment across enterprise architecture, legal, privacy, information security, and business teams, • Build and maintain inventories of AI tools, models, data assets, and vendors, • Draft governance policies, standards, and risk classification templates, including guidance on tool usage, • Partner with engineering teams to support documentation of monitoring approaches, model performance tracking, and risk controls, • Participate in governance forums, documenting decisions and tracking action items, • Coordinate stakeholder interviews and document key insights and requirements, • Assist in development of training materials and adoption resources, • Support cross-functional collaboration across legal, risk, compliance, and technology teams Who You'll Work With • Senior strategists and engagement leads who will mentor you and provide hands-on guidance across client engagements, • Clients across industries including financial services, energy and utilities, retail, healthcare, and technology who are building AI governance capabilities, • Cross-functional stakeholders spanning technology, legal, risk, compliance, HR, and business operations, • Colleagues who prioritize curiosity, humility, collaboration, and hands-on problem-solving, • A supportive environment where ongoing learning and mentorship are central to your professional growth What You'll Bring • 2–3 years of professional experience in consulting, data analytics, AI/technology strategy, governance, or a related analytical role; OR a recently completed MS or MBA with a concentration in Data Science, Technology, AI, Industrial Engineering, or a related field, • Strong understanding of data and AI fundamentals including familiarity with Generative AI, Agentic AI, machine learning concepts, data governance, and responsible AI principles, • Excellent analytical and research skills with the ability to synthesize complex information into clear, structured deliverables, • Strong written and verbal communication skills, including the ability to create polished documents, presentations, and process visualizations, • Ability to work collaboratively across teams, build rapport with stakeholders at various levels, and contribute to alignment and conflict resolution in cross-functional settings, • Strong problem-solving orientation with comfort navigating ambiguity and managing multiple workstreams simultaneously, • Proficiency in Microsoft Office (PowerPoint, Excel, Word) and familiarity with collaboration and visualization tools, • Bachelor’s degree in Business, Technology, Data Science, Engineering, Industrial Engineering, or a related fieldBonus Points If You Have, • Previous consulting firm experience or internship in a strategy, governance, or analytics capacity, • Exposure to AI governance frameworks, data governance programs, or enterprise operating model design, • Familiarity with data and AI platforms such as Snowflake, Databricks, or Palantir Foundry, • Background in Industrial Engineering, operations research, or process optimization methodologies, • Experience with process mapping tools, data visualization, or business intelligence platforms, • Relevant certifications in data, AI, cloud platforms, or project management Why Thought Logic • Work on transformations that matter, not slide decks that sit on shelves, • Real responsibility and ownership over how work gets delivered and how clients experience us, • Direct access to firm leadership and influence over how we grow and evolve, • A culture that values depth over optics, outcomes over activity, and people over process, • The chance to grow your career in a firm that's scaling thoughtfully and intentionally, not just chasing growth for growth's sake, • The opportunity to flex in a continuous learner environment. Get access and exposure to the latest tools, technologies and trends in the AI space

Job DescriptionSalary: Pay Rate - $45-$60/hour Job Title: Civil Engineer Position Summary Pay Rate - $45-$60/hour Adidev is seeking a motivated and detail-oriented Civil Engineer to plan, design, and oversee a wide range of infrastructure and civil works projects including transportation systems, bridges, buildings, site development, utilities, and water/wastewater facilities. This role blends office-based design and analysis with hands-on field oversight, offering the opportunity to see projects through from concept to completion while ensuring quality, safety, sustainability, and regulatory compliance. You will collaborate with multidisciplinary engineering teams, public agencies, and contractors to deliver reliable infrastructure that serves communities and supports long-term growth. About Adidev Adidev Technologies is an engineering and professional services firm supporting infrastructure, construction, public works, and information technology projects across the United States. We hire and support both Civil Engineering and IT professionals, including Mobile Developers and Machine Learning Engineers, and partner with municipalities, transportation authorities, utilities, and leading private-sector organizations to deliver high-quality, practical solutions. Our teams have supported projects and initiatives for public agencies and industry leaders, including state Departments of Transportation (DOTs), municipal public works agencies, and technology-driven organizations such as Delta, Google, Apple, Spotify, US Bank, and FedEx, as well as major engineering and construction firms. Adidev delivers innovative, data-driven solutions that modernize infrastructure, improve efficiency, and strengthen the communities our clients serve. We focus on practical, field-tested solutions and pride ourselves on collaboration, technical excellence, and delivering projects that make a measurable impact. Key Responsibilities -Review survey reports, maps, plans, and technical data to support infrastructure design -Perform engineering calculations (structural, geotechnical, hydraulic, and transportation) -Prepare drawings, plans, and specifications using CAD/BIM and engineering tools -Develop cost estimates, schedules, and project budgets -Obtain permits and ensure compliance with federal, state, and local regulations -Conduct site visits to monitor construction progress and ensure adherence to design specifications -Coordinate with contractors, inspectors, agencies, and stakeholders -Identify risks, resolve field issues, and recommend engineering improvements -Maintain documentation including reports, design changes, and inspections -Support projects from concept development through construction and closeout -Pursue and/or maintain professional licensure (PE preferred) Qualifications / Skills -Bachelors degree in Civil Engineering or related field (Masters preferred for some roles) -Strong foundation in one or more disciplines: structural, transportation, geotechnical, water resources, or environmental engineering -Proficiency with AutoCAD, Civil 3D, BIM, or similar engineering software -Understanding of codes, standards, permitting processes, and regulatory requirements -Strong analytical and problem-solving abilities -Effective written and verbal communication skills -Comfortable working both in office and field environments -Project coordination, budgeting, and scheduling experience -Interest in sustainable, resilient, and community-focused infrastructure design -EIT or PE licensure (preferred or in progress) Working Conditions -Combination of office and field work -Site visits and outdoor work required -Full-time schedule with occasional extended hours based on project needs -Travel or relocation may be required depending on assignments -Perks and Benefits -Competitive salary based on experience and market value -Paid relocation assistance -Flexible and hybrid work options when project schedules allow -Professional development and continuing education support -Licensing and certification reimbursement -Regular performance and salary reviews -Opportunity to work on meaningful infrastructure projects that directly impact communities Ready to Build the Future? If youre passionate about designing and delivering infrastructure that improves everyday life, wed love to hear from you. Submit your resume along with examples of projects youre proud of. Join Adidev and help shape stronger, smarter communities through engineering excellence.

Job Description Position Summary The Senior Data Architect is responsible for defining and evolving scalable, canonical data models and data architecture patterns across Coreforce platforms. This role requires deep experience with relational, document, cache, warehouse, and other structured, semi-structured, and unstructured data stores. The Senior Data Architect will partner with engineering, product, and architecture teams to ensure data models, storage strategies, reporting foundations, and AI-ready data capabilities are reliable, performant, secure, and designed for long-term scale. Essential Duties and Responsibilities Data Architecture and Canonical Modeling · Define scalable, canonical data models that support product capabilities, integrations, analytics, reporting, and AI-enabled use cases. · Establish enterprise data modeling standards, naming conventions, domain models, schema design practices, and data lifecycle patterns. · Translate business and product requirements into durable logical and physical data models across operational and analytical systems. · Guide engineering teams in designing consistent data contracts, entity relationships, event structures, streaming data models, metadata models, and integration patterns. Database and Data Store Strategy · Architect solutions using MySQL, PostgreSQL, MongoDB, and other structured, semistructured, and unstructured data stores. · Design and govern caching strategies using Redis or similar caching technologies to improve application performance and scalability. · Evaluate and recommend appropriate database, storage, indexing, partitioning, replication, and archival strategies based on workload characteristics · Support hybrid data architectures spanning transactional databases, document stores, object storage, search systems, data warehouses, and reporting platforms. Streaming Data and Event-Driven Architecture · Design and govern streaming data architectures that support real-time ingestion, event processing, analytics, operational workflows, and downstream integrations. · Define standards for event schemas, message contracts, topic design, partitioning, ordering, retention, replay, dead-letter handling, and consumer resiliency. · Partner with engineering teams to evaluate and implement streaming platforms and patterns such as Kafka, Amazon Kinesis, or comparable event streaming technologies. · Ensure streaming data pipelines meet requirements for scalability, reliability, observability, security, compliance, latency, and data quality. Performance, Optimization, and Capacity Planning · Lead database optimization efforts including query tuning, indexing strategy, schema refinement, storage layout, and performance troubleshooting. · Perform capacity planning for data platforms, accounting for growth, retention, throughput, latency, concurrency, and cost. · Define standards for observability, monitoring, alerting, backup, recovery, high availability, and disaster recovery for critical data stores. · Partner with engineering and operations teams to improve reliability, scalability, and cost efficiency of production data systems. Data Warehousing, BI, and Reporting · Design and support data warehousing architectures that enable reliable analytics, operational reporting, compliance reporting, and executive dashboards. · Develop dimensional, normalized, and hybrid models appropriate for BI reporting solutions and analytical workloads. · Work with stakeholders to ensure data pipelines, marts, semantic layers, and reporting datasets are accurate, governed, and understandable. · Establish patterns for data quality, lineage, governance, cataloging, retention, and access control across reporting and analytical platforms. AI-First Data Enablement · Apply an AI-first mindset to data architecture by designing data structures, metadata, retrieval patterns, and governance models that support machine learning, generative AI, search, and automation use cases. · Identify opportunities to use AI-assisted tooling to improve data modeling, documentation, quality analysis, anomaly detection, reporting, and operational efficiency. · Ensure data architecture decisions support secure, explainable, and auditable AI-enabled workflows. Cross-Functional Leadership · Collaborate with principal architects, software architects, engineering leads, product managers, and operations stakeholders. · Review data-related designs, migrations, pull requests, and implementation plans for architectural alignment and operational readiness. · Mentor engineers and database practitioners on data modeling, database optimization, caching, warehousing, and reporting best practices. · Create clear architecture documentation, standards, diagrams, migration plans, and decision records. Required Qualifications Knowledge, Skills, and Abilities · Strong hands-on experience with MySQL and PostgreSQL in production environments. · Strong experience with MongoDB and document-oriented data modeling. · Experience designing solutions across structured, semi-structured, and unstructured data stores. · Required experience with caching solutions such as Redis, including cache design, invalidation, consistency, and performance tradeoffs. · Required expertise in data modeling, canonical model definition, schema design, and database normalization/denormalization strategies. · Required experience with database optimization, query tuning, indexing, partitioning, replication, and performance troubleshooting. · Required experience designing and operating data streaming solutions, including event-driven architectures, stream processing patterns, event schema design, and real-time data pipeline reliability. · Required experience with capacity planning for high-volume, production data systems. · Required experience with data warehousing concepts, architectures, dimensional modeling, and analytical data design. · Required experience with BI reporting solutions, semantic layers, dashboards, and reporting datasets. · Ability to define scalable data models that support operational systems, analytics, integrations, and AI-enabled capabilities. · AI-first mindset with a practical understanding of how data architecture enables AI, machine learning, retrieval, search, automation, and advanced analytics. · Strong communication skills with the ability to explain complex data architecture decisions to technical and non-technical audiences. Preferred Qualifications · Experience with cloud-native data services in AWS, Azure, or GovCloud environments. · Experience with object storage, data lakes, search platforms, streaming/event-driven architectures, or large-scale media metadata systems. · Experience with data governance, data cataloging, lineage, privacy, security, compliance, and retention requirements. · Experience modernizing legacy data platforms or leading large-scale database migrations. Experience supporting public safety, law enforcement, corrections, digital evidence, video, or mission-critical SaaS platforms.

Job DescriptionDirect Counsel is partnered with an AmLaw 100 firm seeking mid-level patent agents to join their Electrical Engineering and Computer Science Patent Prosecution Practice Group. This position is open to the firm's Atlanta, Denver, San Francisco, Seattle, St. Louis, Washington, DC, Houston, Kansas City, or Phoenix offices. Interested candidates must possess a high level of academic achievement, solid law firm, engineering, or industry experience, and superb writing and communication skills. Responsibilities: Prepare and prosecute patent applications in electrical engineering and software-related technologies Conduct patentability searches and analysis Draft responses to USPTO office actions Collaborate with attorneys and clients to develop patent strategies Review and analyze technical disclosures Qualifications: 2+ years of relevant patent preparation and prosecution experience Degree in Electrical Engineering, Computer Engineering, Software Engineering, Computer Science, or Physics Admission to the USPTO required Excellent writing, communication, and analytical skills Experience in data science, AI, networking technologies (including network security), machine learning, and hardware security is highly preferred Compensation: Salary range: $110,000 - $190,000 depending on experience Discretionary performance-based bonus may be available Eligible for firm benefits including: medical insurance, dental insurance, life insurance, disability insurance, voluntary vision insurance, 401(k) plan, and paid time off Application Requirements: Please submit a cover letter, resume, undergraduate transcript (and graduate when applicable), and writing sample (preferred patent application).

Job Description Syskoplan Reply is a part of the Reply Network, focused on delivering transformative projects to our clients leveraging SAP solutions. Syskoplan Reply is an SAP Gold partner and has recognized expertise executing global projects in various industries and a wide range of competencies including business process consulting, customer experience, intelligent automation, ERP and more. At Syskoplan Reply, we are seeking a Senior SAP MM/Purchasing Consultant to join our team. You are an individual who has technical and functional expertise of the SAP MM module which allows you to solve problems and deliver optimum solutions for the client. You will act as both a strategic advisor and hands-on configurator, delivering best-in-class solutions aligned with SAP Activate methodology and SAP’s fit-to-standard approach. You have strong business acumen, technical expertise, and the ability to translate complex MM processes into standard cloud-based solutions using SAP Best Practices. You have hands on S/4HANA and S/4HANA Cloud experience including use case of standard Fiori applications. Responsibilities • Act as a business consultant to help customers achieve their objectives understanding the importance of communication in a consultant's role, • Problem solve with an extraordinary technical and functional understanding of business process and MM Principles and SAP products, • Support end users from a functional and/or technical perspective working closely with them and the business to analyze and review their business requirements or processes, • Troubleshoot and configure SAP MM including integration points with other modules and cross functional design/build of other modules. Working on multiple projects as a project team member or team lead., • Lead fit/gap and other types of working sessions to understand needs driven by business process requirements. Translate requirements into solutions, using SAP Best Practices, • Prepare clear and concise documentation, as well as provide timely status updates, • Proactively identify risks and develop strategies to mitigate potential issues. Assess corporate impacts of changes and recommend strategies to senior management, • Provide knowledge transfer to clients and fellow consultants, in formal and ad hoc settingsMinimum Requirements, • Bachelor’s Degree, • Travel up to 50%, • 8 years of SAP experience with a minimum of 3 full-cycle SAP implementations including both public and private cloud, • Deep expertise in SAP MM/Purchasing within manufacturing environments, including procurement processes, purchasing operations, source determination, inventory and materials management, vendor evaluation and management, goods receipt/invoice verification, subcontracting, batch management/traceability, integration with warehouse and production processes, and SAP Fiori apps., • Expert in set-up/configuration of MM and cross functional design/build of other module(s), • Proficient in all aspects of a project from requirement gathering and gapping to realization to testing, go-live prep and go-live execution as well as hyper-care support. Ability to lead sessions and create requirements to develop the right client solution, • Highly skilled in MM master data set-up, cleansing, harmonization and migration, including LSMW and Migration Cockpit, • Ability to be a though leader in your domain and contribute to ecosphere both within and external of ReplyPreferred Qualifications, • Knowledge of IOT, Machine Learning and Big Data a plus, • International project or SAP configuration experience in NAFTA, LATAM and/or EMEA, • S/4 Public and/or Private Cloud Certification, • Experience with SAP Activate methodology and SAP’s fit-to-standard approach. About Reply Reply specializes in the design and implementation of solutions based on new communication channels and digital media. Reply is a network of highly specialized companies supporting global industrial groups operating in the telecom and media, industry and services, banking, insurance and public administration sectors in the definition and development of business models enabled for the new paradigms of AI, cloud computing, digital media and the Internet of Things. Reply services include Consulting, System Integration and Digital Services. www.reply.com Reply is an equal opportunity employer. We are committed to provide equal opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. If you need assistance and reasonable accommodation due to a disability during the application or the recruiting process, email us at jobusa@reply.com. Visit our website at www.reply.com to learn more about our open roles. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job DescriptionSr. Data Scientist (100% remote) ARC Group is currently seeking a Sr. Data Scientist to join a global leader in shipping and enterprise logistics services. The Data Scientist will be an integral part in helping the organization by working with numerous departments to develop solutions for customers, make sure products are as needed, and that quality and performance of products are met. This is NOT a junior position nor a developer role, it is a need for a Data Scientist that will look at arrays of capture points and customer data, model and analyze date to create better solutions and solve problems. This requires you to have permanent work authorization and not need sponsoring now or in the future. (No C2C, no brokering). Data Scientist Responsibilities: • Align with SMEs to outline analytic requirements and devising the analytics that meet the requirements, • Develop data models top optimize and improve work of e-commerce functions, • Understand the flow of data in the domestic product portfolio and define new solutions to capture the right data to help measure performance, • Recognize emerging machine learning and pattern recognition algorithms and work with the team to integrate state-of-the-art algorithms into various solutions including product performance, • Become a SME for all domestic product portfolio data sources and help define interfaces across various data points to consolidate to produce required analytics, • Gain industry knowledge to understand and lead analyses of customer injection, market trends and competitive landscape Data Scientist Requirements:, • Bachelor's (master's is a plus) or higher from an accredited college or university in a quantitative discipline (e.g., statistics, mathematics, operations research, engineering, data science or computer science)., • Must have data modeling, predictive analytics and/or machine learning experience, • 5 years of related work experience in two or more of the following: designing/implementing machine learning, data mining, advanced analytical algorithms, advanced statistical analysis, artificial intelligence, or software engineering with data analysis software, • MUST HAVE experience in Azure and Azure Data Lake Storage / ADLS, • Hands-on work with Azure tools: Power BI, Azure Synapse and Azure Data Explorer, SQL. You should know how to build a report off Azure and link it to Power BI, • This is not a developer position, but you must possess strong SQL coding skills, • Experience in data mining and understanding of machine-learning and operations research is an advantage, • Analytical mind and business acumen with a problem-solving aptitude and the communication skills to utilize these skills Nice to have:, • Experience in data mining and understanding of machine-learning and operations research is an advantage, • Proficiency in Excel, PowerPoint, MS Access is a plus, • Knowledge of using machine learning workflow/toolkits i.e., Kubeflow and analytics engine i.e. Spark, • Any familiarity with other data analytics tools, data frameworks (e.g., Hadoop) is an asset, • Knowledge of Python will be a plus Would you like to know more about our new opportunity? For immediate consideration, please apply online while viewing all open jobs at www.arcgonline.com. . ARC Group is a Forbes-ranked a top 20 recruiting and executive search firm working with clients nationwide to recruit the highest quality technical resources. We have achieved this by understanding both our candidate's and clients' needs and goals and serving both with integrity and a shared desire to succeed. We are proud to be an equal-opportunity workplace dedicated to pursuing and hiring a diverse workforce.

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., • Continuous Learning: Stay current on developments in data science and machine learning. Qualifications: • 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., • Ethical Considerations: Knowledge of ethical data analysis practices, including privacy and bias concerns. Benefits: • Competitive salary, • Opportunities for career growth and development, • Health and wellness benefits, • Collaborative and dynamic work environment How to Apply: Please submit your resume and a cover letter to info@4pconsultinginc.com detailing your experience and why you’d be a great fit for the Data Scientist role.

Job Description WE'RE HIRING! If you love data and are looking for unlimited growth opportunities, we want to talk with you about joining Further. Further is a data, cloud, and AI company whose focus is helping companies turn raw data into the right decisions. We have an award winning culture of extraordinary people. Our purpose is to enable people to thrive so that businesses can thrive. We believe that the work you do should matter - it should be meaningful to you professionally and personally, and it should have a positive impact on both you and our clients. If this sounds exciting to you, let's chat! AI Strategist This is a rare opportunity to sit at the intersection of business strategy and cutting-edge AI, without being pigeonholed into either. You're not just advising on technology; you're shaping how major enterprise clients think about and invest in AI. From day one, you'll be working across a portfolio of marquee brands, helping them move from curiosity to confidence in their AI strategies. What makes this role unique is the scope of influence. You'll be the person in the room who listens to business stakeholders, translates their challenges into a clear vision, and then builds the roadmap that actually gets them there. You're the bridge: the one who makes sure AI investments deliver real, measurable value rather than becoming shelf-ware. This is also a role with staying power. AI strategy is still being defined across industries, and you'd be helping to shape that definition, both externally with clients and internally. What experience should you have: • 10-15 years of experience in strategist or consulting role., • Deep AI expertise, particularly in a consulting or agency role: ethical AI principles and best practices., • Ability to articulate complex ideas simply and credibly, and create executive-level presentations., • AI / Machine Learning / advanced analytics experience in a highly-regulated industry (healthcare, finance, energy, defense)., • Expertise in change management processes and a deep appreciation for its value in enterprise solution adoption., • Hands-on experience driving adoption of Generative AI solutions in the enterprise, • Bonus Points: AI governance certification preferred What you'll be doing in this role: • Lead business development activities, including client pitches, creating plans and estimating work. This involves creating trusted partnerships to consistently extend and expand client relationships and engaging with CS and BD to develop new business., • Identify business outcomes and plan and delegate work to the team to positively impact them and communicate the a clear value proposition/story of our work to the clients, • Infer and communicate the consequences of new information/criteria/realities on specific client ecosystems or scenarios Partners with senior clients to identify high-value AI opportunities, build strategic roadmaps for AI adoption, and establish governance mechanisms for AI programs. • Provide strategic direction to clients and internal teams. They lead major engagements, influence client decision-making and develop innovative approaches that create lasting value for clients., • Focus, lead and mentor the teams to deliver measurable results., • Frame AI work around testable hypotheses tied to real business outcomes (revenue, retention, efficiency). What you'll need to accomplish in your first year: • Drive AI Strategy with Clients: Identify high-value AI opportunities within client organizations, build strategic roadmaps for AI adoption, and establish governance mechanisms to ensure AI programs are sustainable and trustworthy, understanding how AI fits into a client's broader ecosystem and decision-making., • Lead and Grow: Mentor internal teams on AI-related engagements, participate in business development (pitches, scoping, estimating AI work), and help mature the firm's overall AI solution offerings over time., • Translate Complexity: Act as the interpretive layer between data scientists/technical teams and business stakeholders — communicating consequences of model outputs, new data realities, or AI limitations in terms clients can act on. Our total rewards program is designed for your protection, peace of mind, and overall well-being. In addition to our outstanding basics, we offer a net-zero cost medical option, company contributions to your HSA, fertility support, fully-paid parental leave, a monthly stipend for your lifestyle spending account, and much more. Apply today or check out all our opportunities! By submitting your application, you consent to our collection, processing and disclosure of the contained personal data in accordance with our data practices. If you are a resident of the U.S. state of California, you can read about our data practices and your related privacy rights here. If you are a resident of the European Economic Area, Switzerland or the United Kingdom, you can read about our data practices and your related privacy rights here.

Job DescriptionCompany Introduction: Airspace is a tech-enabled freight forwarder that's redefining how the world's most critical packages are delivered. Headquartered in Carlsbad, California, Airspace has employees who are based around the world. Our European headquarters is in Amsterdam, The Netherlands. As a recognized leader in AI and machine learning, our team leverages data and patented technology to coordinate logistics across a global network of drivers and airlines. Our goal is to deliver those packages that are truly mission-critical in a way that is faster, more transparent, more secure, and more accountable than ever before. The items we deliver range from organs for transplant, to parts for critical machinery including grounded aircraft and highly sensitive components such as semiconductors. Airspace has been rated one of America's best Startup Employers and listed as one of CNBC's Disruptor 50 companies. Airspace has the support of leading investors such as Telstra Ventures, HarbourVest Partners, Defy Partners, DBL Partners, and Scale Ventures. To date the company has raised more than $140m. The company is growing rapidly and serving more places around the world than ever before. We are looking for passionate, motivated individuals who want to make an IMPACT every day to help us execute on our mission of reshaping the world of time-critical logistics. Own the Judgment Calls That Keep Orders Moving Every shipment eventually hits a moment that isn't in the SOP — a failed carrier connection, an oversized load with no obvious coverage, a customer who needs a straight answer under pressure. As an Operations Specialist II, you're the person who resolves that moment without waiting for someone else to tell you how. You've mastered the OS I fundamentals and are now trusted to act on incomplete information, source coverage other people can't, and de-escalate situations independently. This is where reactive execution starts becoming proactive ownership. What You'll Do Must be able to perform all responsibilities included in the Operations Specialist I job description, in addition to the following: Resolve What Doesn't Fit the Standard Playbook • Independently start carrier traces for failed-to-load or unable-to-locate shipments, • Source driver coverage for any segment of an order, including oversized shipments, • Use bid/quote request tools to source specialized vehicles and provide cost estimates to customers, • Apply training and tenured knowledge to anticipate complications and proactively solve for themExercise Independent Judgment, • De-escalate most situations without assistance, • Know when to escalate an order versus independently resolving it using available resources, • Understand the downstream impact of decisions made within an orderCommunicate Proactively and Strengthen the Platform, • Communicate proactively — not just reactively — with customers, drivers, and agents at every step of the shipment process, • Maintain any certifications required for your assigned sector and stay current on related compliance requirements, • Identify and suggest system features or workflow improvements that would help OperationsMaintain a Balanced Level of Performance As an OS II, you'll be expected to meet minimum metric requirements and customer service standards appropriate for this level. Specific metrics vary by sector and will be communicated by your direct reporting supervisor. Expectations increase with each advancement. Requirements • Demonstrated success as an Operations Specialist I, or equivalent time-critical logistics / customer operations experience, • Proven ability to make sound decisions with incomplete information and under time pressure, • Track record of de-escalating difficult customer or operational situations without needing to hand it off, • Comfort sourcing non-standard solutions (specialized vehicles, oversized loads) rather than defaulting to escalation, • Any certifications required for your assigned sector (e.g., Dangerous Goods handling, where applicable), or willingness to obtain them, • Continued availability to work the shift pattern required by your team, • Available for 2 weeks of training in person on-site in our Carlsbad, CA headquarters Advancement to Operations Specialist III To advance to OS III, you'll need to demonstrate all of the following: • Minimum of 6-12 months in the OS II role, • Consistently meeting or exceeding OS II performance standards, tracked through ongoing 1:1 check-ins and confirmed across two consecutive Semi-Annual Reviews (SARs), • Demonstrated advanced problem-solving proficiency — independently resolving escalations rather than routing them upward, • Working understanding of margin and cost tradeoffs as they relate to order decisions, • Manager recommendation, confirming readiness to operate as an escalation point for the team Compensation • Hourly pay range: $23-26/hr, • High-quality health, vision, and dental care plan options, • 401K company contribution program, • Professional learning and training reimbursements Core Values: • We are One Team. We believe we all accomplish more when we are working together., • We make an Impact. We are determined to have a positive influence on our environment, our customers, our industry, and our world., • We are Passionate. We care deeply about our mission and are not afraid to raise the bar., • We are Transparent. We pride ourselves on having open, honest, and sincere communication with our team and customers., • We are Innovative. We never settle and are always striving to improve our product, service, and ourselves. Airspace is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. Additionally, Airspace participates in the E-Verify program for all locations. A friendly reminder: Airspace will only contact candidates from an @airspace.com email, a no-reply notification from no-reply@us.greenhouse-mail.io, or a verified LinkedIn profile. We never request fees or sensitive personal/financial information during recruiting. If something seems suspicious or feels off, please reach out to us at recruiting@airspace.com before responding.For this role the acquisition of recruitment agencies is not appreciated, thank you for your understanding.

Job Description Position: Data Analytics Engineer IV Location: 241 Ralph McGill Blvd., Atlanta, GA HYBRID Duration: 3 Years Client: Georgia Power Employment Type: W-2 Only Georgia Power is seeking an experienced Data Analytics Engineer IV to design, build, and support scalable data platforms, enterprise data pipelines, application integrations, and analytics solutions for Power Delivery. This role will work with Databricks, Azure Data Factory, Kafka, APIs, Microsoft Power Platform, OutSystems, and cloud-based lakehouse technologies to deliver trusted, governed, and reusable data products. Key Responsibilities · Design, develop, and maintain enterprise ETL and ELT data pipelines. · Build ingestion frameworks for structured, semi-structured, batch, and streaming data. · Develop Databricks notebooks, workflows, pipelines, and reusable data products. · Ingest data using Azure Data Factory, Kafka, CDC technologies, APIs, files, and databases. · Build and maintain Bronze, Silver, and Gold data layers within the Databricks Lakehouse. · Develop solutions using PySpark, Spark SQL, Python, SQL, Delta Lake, and Unity Catalog. · Implement data-quality checks, monitoring, exception handling, lineage, and metadata. · Optimize lakehouse performance, scalability, and cloud costs. · Build and enhance business applications using Power Apps, Power Automate, Power Platform, and OutSystems. · Integrate Databricks data products with business applications and operational workflows. · Implement CI/CD practices using GitHub and Azure DevOps. · Support architecture reviews, solution design, governance, security, and documentation. · Partner with business users, analysts, developers, and technology teams. Required Qualifications · Bachelor’s degree in Computer Science, Information Systems, Data Analytics, Engineering, or a related technical field. · 3–7 years of experience in data engineering, analytics engineering, or software development. · Experience developing enterprise data pipelines and cloud-based integrations. · Strong experience with ETL/ELT, data orchestration, data warehousing, data lakes, and lakehouse architectures. · Hands-on experience with Databricks, PySpark, Spark SQL, Delta Lake, and Unity Catalog. · Proficiency in Python and SQL. · Experience with Azure Data Factory, APIs, Kafka, CDC technologies, and SQL Server. · Experience with GitHub and Azure DevOps. · Experience with Power Apps, Power Automate, Power Platform, or OutSystems. · Strong analytical, communication, collaboration, and problem-solving skills. Preferred Qualifications · Utility or Power Delivery industry experience. · Experience supporting transmission or distribution analytics. · Real-time data-streaming experience. · Knowledge of AI and machine-learning enablement using Databricks. · Experience integrating Power BI with Databricks, including DirectQuery architectures.

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, Exabeam, 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! About AI Security at Cato Networks Cato's AI Security capabilities extend the Cato SASE platform into the AI and SaaS layers, enabling enterprises to securely adopt and govern AI-powered applications and services. AI Security provides real-time visibility, control, and protection across AI-enabled SaaS platforms by addressing modern threats such as identity abuse, data leakage, misconfigurations, insider risk, and unauthorized AI usage. By integrating AI Security natively into the Cato SASE Cloud, Cato delivers a unified platform that protects users, networks, SaaS applications, and AI services from a single, globally distributed security architecture. Role Overview We are looking for a Channel Sales Engineer to serve as a technical resource for Cato Networks' Channel organization, acting as an overlay specialist focused on AI Security. In this role, you will manage the technical evaluation process with channel partners, working with the Cato Channel team as the primary technical contact and product advocate for Cato's AI Security solutions. The evaluation process includes technical discussions, product demonstrations, Proof of Concept execution, and partner education. You will engage with technical and business stakeholders and play a key role across the partner lifecycle. Responsibilities Validate Cato's AI Security solutions for prospects and partners. Develop and deliver product demonstrations and technical presentations. Present solutions to customers and at field events such as conferences and seminars. Address functional and technical elements of RFIs and RFPs. Serve as a technical advisor to channel partners during evaluations and deployments. Communicate feedback, feature requests, and technical insights to Product Management. Stay current on AI security trends, emerging technologies, and market alternatives. Travel throughout assigned sales territory as required. Requirements 4+ years of experience as a Sales Engineer, Solutions Architect, or technical pre-sales professional. Experience selling or assisting with Cybersecurity SaaS solutions, preferably in enterprise or partner-based environments. Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent experience. Technical background with experience in several of the following areas: SaaS platforms and APIs AI / Machine Learning concepts and risks REST APIs and integrations SSO, IAM, and identity-based security SIEM and security insights Cloud platforms such as AWS, Azure, or GCP Kubernetes and modern cloud architectures Presentation and written communication skills. Organized, thoughtful, and adaptable problem-solver. Startup experience preferred; comfortable operating in fast-paced environments with limited formal processes. A reasonable estimate of the OTE for this role, at the time of posting, is $240,000–$260,000. Cato provides the pay range for open roles to help align with candidate needs. Exact compensation may vary based on skill set, experience, location, training, and certifications. Cato provides a market-aligned salary and comprehensive benefits plan. Benefits for this role include health, vision, and dental insurance; 401(k); stock options; Health Savings and Flexible Spending Accounts; flexible time off; paid parental leave; and disability benefits.As an EEO/Affirmative Action Employer, all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity, sexual orientation, national origin, disability, or protected veteran status.

Job DescriptionBenefits: • Bonus based on performance Senior Project Manager Starr & Associates (S&A) is seeking a Data & Analytics Consultant with management consulting experience to support client engagements focused on data assessments, data quality, business intelligence, data integration, analytics, and reporting solutions. This role partners with business and technical stakeholders to evaluate current state data environments, identify opportunities for improvement, and develop data driven solutions that support operational and strategic objectives. The ideal candidate combines analytical capabilities with consulting experience and the ability to bridge business and technology teams. Experience supporting supply chain, manufacturing, MedTech, healthcare, distribution, or other operationally intensive industries is highly desirable. Duties & Responsibilities Conduct data assessments to evaluate data sources, flows, quality, reporting capabilities, integrations, and overall data maturity. • Perform source to target mapping, data lineage analysis, field mapping, and business to technical requirement translation., • Assess data quality, completeness, accuracy, consistency, and integrity while identifying opportunities for improvement., • Facilitate stakeholder interviews, workshops, and working sessions to gather and validate business and analytical requirements., • Analyze structured and unstructured data to identify trends, risks, opportunities, and operational insights., • Design and develop dashboards, scorecards, KPIs, reports, and visual analytics solutions., • Apply analytical techniques, forecasting methods, and statistical approaches to support business decision making., • Analyze source systems, APIs, ETL processes, and data movement frameworks to support integration initiatives., • Develop analytical findings, recommendations, and actionable insights for operational and strategic decision making., • Support clients in developing recommendations, roadmaps, and improvement plans related to data, analytics, reporting, and integration capabilities., • Collaborate with executive sponsors, business leaders, technical teams, and project stakeholders., • Develop presentations, findings, recommendations, and executive level deliverables., • Support project delivery while adhering to consulting methodologies and quality standards.Education & Experience, • Bachelor’s degree in a STEM discipline, Business, or related field., • 3 to 5 years of professional experience in data analytics, business intelligence, reporting, data management, data integration, or related disciplines., • Prior management consulting or professional services experience required., • Experience supporting data assessments, data quality initiatives, reporting programs, analytics projects, or data integration efforts required., • Experience supporting manufacturing, supply chain, MedTech, healthcare, or operationally intensive industries preferred.Required Skills, • Experience delivering client facing consulting services., • Experience performing data mapping, source to target mapping, data lineage analysis, and business to technical requirement translation., • Experience conducting data assessments, data profiling, and data quality evaluations., • Strong SQL development and data analysis skills., • Experience working with SQL Server, Azure Data Factory, Databricks, Tableau, and Power BI., • Experience supporting SAP data environments and enterprise reporting initiatives., • Experience with ETL tools, APIs, data integration processes, and data movement frameworks., • Familiarity with Azure cloud services and modern data platform architectures., • Experience developing dashboards, scorecards, KPIs, reports, and visual analytics solutions., • Strong written and verbal communication skills suitable for executive and client facing environments.Preferred Qualifications, • Experience supporting Supply Chain Control Tower initiatives., • Experience supporting procurement, inventory management, supplier management, logistics, manufacturing operations, or supply chain analytics programs., • Experience with Python, R, or advanced analytics tools., • Exposure to Artificial Intelligence, Machine Learning, Generative AI, or advanced analytics concepts., • Experience with Snowflake, Microsoft Fabric, Synapse Analytics, or cloud analytics platforms., • Experience supporting data governance, metadata management, or master data management initiatives.Core Competencies, • Consulting Mindset, • Leadership, • Communication, • Stakeholder Management, • Problem Solving, • Organization, • Business Acumen, • AdaptabilityJob Type, • Full Time, • Location: Atlanta, GA, • Hybrid/Remote with occasional client travel Flexible work from home options available.

Job Description Senior Applied AI Engineer | Spatial Computer Vision & Digital Twins Location: Fully Remote (in the US) Salary: $170-230k DOE About the Product We build visual operations and maintenance software for complex industrial facilities, using high-resolution 3D digital twins to give engineers and technicians clear visibility into plants, substations, and other critical spaces. Customers in the energy and industrial sectors use the platform to visualize infrastructure, centralize asset information and documentation, and support immersive training and work execution. The Opportunity We are building a new spatial AI engine that looks at 3D facility scans and automatically identifies every pump, valve, motor, and device, then matches each physical asset to the correct tags, drawings, and records in customer databases. Today, utilities and industrial companies often spend years with large teams manually fixing asset tags and documentation. The goal is to remediate tens of thousands of tags in months and eventually scale to millions of assets across fleets of plants and substations with minimal manual effort. This engineer will be one of the first focused on this initiative, working closely with technology leadership and the existing platform team to design and build the system from the ground up. What You’ll Own • Architect and build core components of the spatial AI engine, from ingesting 3D scene data to producing reliable, automatically generated asset tags and relationships that plug into a visual asset management platform., • Design pipelines that transform 3D digital twins into representations suitable for asset detection, spatial reasoning, and downstream AI workflows., • Develop and integrate computer vision models to detect and classify equipment in complex industrial environments, using techniques like object detection, segmentation, and 3D or spatial recognition., • Build LLM and RAG workflows that reconcile detected assets with messy documentation, including drawings, PDFs, legacy asset registers, and tribal knowledge, creating high-confidence matches between the physical world and digital records., • Implement robust backend services and APIs that expose these capabilities to 3D product experiences and visual work order workflows, collaborating with front-end engineers building immersive interfaces., • Define metrics, validation frameworks, and feedback loops so the system can scale from tens of thousands of assets at early customers to millions of assets across broader portfolios., • Work closely with customers and internal stakeholders to understand real-world constraints in power, industrial manufacturing, and other high-stakes environments. Who You Are We care more about the depth of problems you’ve solved than your exact background or years of experience. • You’ve built complex production systems end-to-end in a demanding domain such as computer vision, robotics, crypto infrastructure, AR/VR, industrial software, or something similarly technical and unstructured., • You are strong hands-on in Python and at least one modern web or backend stack such as TypeScript/Node, Go, or something similar., • Computer vision or image-based machine learning is your primary strength, whether in 2D, 3D, or spatial environments, and you have trained and deployed models for detection, recognition, or scene understanding., • You may also have strengths in LLMs, RAG pipelines, spatial computing, digital twins, 3D visualization, or building evaluation and monitoring systems around AI workflows., • You are comfortable jumping into new domains quickly and learning the vocabulary and operating constraints of critical infrastructure., • You like building real systems that are used in production, not just prototypes or research demos., • You are energized by ambiguous, greenfield technical problems and enjoy operating in a small, fast-moving team. Why This Role • High-impact problem: this work has the potential to change how critical infrastructure is documented, maintained, and operated., • Greenfield scope: this is a new product area with no established playbook, so this person will help define architecture, technical direction, and best practices from the beginning., • Flexible profile: the team is open-minded on title, years of experience, and exact background for the right builder., • Compensation flexibility: target compensation was initially discussed around the mid-to-upper 100s, but there is openness to go higher for the right person, especially for stronger computer vision talent., • Team design flexibility: the company may hire one exceptional engineer or split the work across multiple hires depending on the skill mix they find. Ideal Background This role is likely to fit someone coming from one or more of the following areas: • Applied computer vision, • 3D perception or spatial AI, • Robotics perception, • AR/VR or digital twin platforms, • LLM and RAG systems over messy enterprise data, • Full-stack or backend engineering in highly complex systems, • Crypto or other technically demanding startup environments where engineers build from scratch in ambiguity Notes on Fit The highest-priority need is someone with strong CV / image / spatial recognition ability. Secondary value comes from LLM / AI system experience. Generalist full-stack capability is also helpful, but it is the third priority behind the applied AI and perception side. The right person does not need to come directly from digital twins or industrial software. Adjacent experience solving difficult, novel technical problems can be just as valuable if they are sharp, adaptable, and capable of building in ambiguity.

Job Description Data Engineer Location: Atlanta, Georgia (Hybrid Remote- 2 days onsite/ 3 days remote) Job Type: Full-Time The Data Engineer is a vital member of the application services team responsible for designing, building, and maintaining the infrastructure that supports the collection, storage, and analysis of large sets of data. They ensure that data flows smoothly from source to destination so that it can be processed and analyzed by other stakeholders. Key Responsibilities • Design and manage data architecture and pipelines., • Deploy and maintain Elasticsearch clusters in multi-cloud or on-premises environments., • Integrate data from various sources, including databases, APIs, and external systems., • Collaborate on data models for improved analytics and decision-making., • Implement processes for monitoring and ensuring data quality. Requirements Education and Experience • Bachelor’s degree in Computer Science, Mathematics, Data Science, or related field., • 6+ years of professional experience in data management or engineering, including 3+ years with Elasticsearch, SSIS, or similar tools. Skills and Knowledge • Proficiency in SQL, non-relational databases, and programming (e.g., Python, C#)., • Familiarity with cloud services like AWS or Azure., • Experience with data modeling, ETL processes, and scalable pipelines., • Knowledge of machine learning and data science concepts., • Strong problem-solving, analytical, and communication skills. This position is ideal for professionals passionate about driving data excellence and innovation. Apply today to join our team!

Job Description Senior Data Scientist, Computer Vision & Product Strategy Location: Atlanta, GA (Hybrid/remote) Employment Type: Full-Time About TURNBRIDGE TURNBRIDGE delivers precision-driven technical solutions and talent strategies that accelerate business outcomes. We connect exceptional talent with innovative organizations, helping teams solve complex challenges through technology, data, and AI-driven solutions. Role Overview We are seeking a highly experienced Senior Data Scientist to lead the evolution of a cutting-edge Computer Vision platform in a hybrid technical leadership and product ownership role. This position combines deep expertise in data science, machine learning, and computer vision with strategic product management responsibilities. You will define the technical direction of computer vision applications, guide AI/ML innovation, own product vision and roadmap execution, and lead cross-functional teams to deliver scalable, enterprise-grade solutions that generate measurable business value. Key Responsibilities Data Science & Computer Vision Leadership Lead the technical strategy for a mobile Computer Vision SDK, enabling intelligent image capture through real-time quality assessment, image validation, augmented reality guidance, and user coaching. Drive the design and ongoing optimization of image processing pipelines that transform raw image captures into actionable operational insights in near real-time. Guide development of a scalable backend platform for configuring, managing, and deploying image processing workflows across multiple business use cases. Define and operationalize KPI frameworks that convert image recognition outputs into reliable business metrics, dashboards, and decision-support insights. Partner with product and engineering teams to integrate computer vision capabilities across multiple applications and platforms. Collaborate with data engineering and analytics teams to enable enterprise-wide access to image recognition insights through modern data platforms and AI-powered experiences. Establish standards for model evaluation, benchmarking, quality assurance, drift monitoring, experimentation, and continuous improvement. Research and implement emerging computer vision and machine learning technologies, including foundation models, self-supervised learning, synthetic data generation, and edge AI optimization. Serve as the subject matter expert for model validation, experimentation, performance analysis, and solution design. Product Vision, Strategy & Execution Define and own the vision, strategy, and roadmap for the computer vision product portfolio, including SDKs, image-processing services, and business rules engines. Establish and drive product objectives and key results (OKRs) aligned to measurable business outcomes. Lead product discovery efforts through stakeholder engagement, user research, workflow analysis, and market evaluation. Own product backlog prioritization, balancing customer value, strategic alignment, technical considerations, and delivery effort. Define and monitor key product success metrics, including adoption, model accuracy, user engagement, operational impact, and time-to-value. Create and maintain product artifacts such as business cases, product requirements documents (PRDs), roadmaps, release communications, and executive updates. Act as the primary bridge between business stakeholders, technical teams, and leadership to ensure alignment and successful product delivery. Develop value realization plans that support adoption, user enablement, training, and measurable ROI. AI Vendor & Data Asset Management Manage relationships with external AI, machine learning, and image recognition technology providers. Establish and maintain service-level expectations for model performance, accuracy, retraining cadence, and issue resolution. Oversee image datasets, reference assets, metadata, and catalog governance to ensure data quality and consistency. Evaluate model performance using quantitative methods and challenge assumptions through rigorous testing and analysis. Assess emerging technologies, partners, and vendors to ensure a best-in-class computer vision ecosystem. What You'll Gain End-to-end ownership of AI and machine learning products operating at enterprise scale. Experience leading advanced computer vision initiatives from concept through production. Exposure to emerging trends in machine learning, edge AI, image recognition, and generative AI technologies. Opportunities to blend technical leadership with strategic product management responsibilities. Collaboration with cross-functional teams driving innovation, digital transformation, and operational excellence. Required Qualifications Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related field (or equivalent practical experience). 7+ years of experience in data science, machine learning, or artificial intelligence. 3+ years of hands-on experience in computer vision, including object detection, image classification, segmentation, OCR, or related technologies. Proven experience leading technical teams and delivering ML/AI solutions in production environments. Strong programming skills in Python and experience with modern machine learning frameworks such as PyTorch, TensorFlow, OpenCV, or Hugging Face. Deep understanding of the machine learning lifecycle, including model development, deployment, monitoring, maintenance, and optimization. Experience defining product KPIs, OKRs, and outcome-driven roadmaps. Strong stakeholder management, communication, and cross-functional leadership skills. Experience managing third-party technology vendors, strategic partners, and service-level agreements. Preferred Qualifications Experience serving as a Product Owner, Product Manager, or technical product leader within an AI/ML environment. Experience designing and scaling image recognition or computer vision platforms. Knowledge of SDK architecture, API-first product development, and developer experience best practices. Familiarity with business rules engines, workflow automation, and decision intelligence platforms. Experience with cloud-native architectures, preferably Microsoft Azure. Experience with Databricks, containerization, CI/CD pipelines, and MLOps practices. Exposure to generative AI, foundation models, and multimodal AI systems. Experience supporting retail, logistics, supply chain, field operations, manufacturing, or enterprise operational environments. Professional & Interpersonal Skills Strategic thinker who balances long-term vision with practical execution. Ability to communicate effectively with executive leadership, business stakeholders, engineers, and data scientists. Strong analytical and problem-solving skills with a data-driven mindset. Comfortable operating in ambiguous, fast-moving environments. Proven ability to influence without direct authority across multiple teams and functions. Collaborative leadership style with a passion for innovation and continuous improvement. Excellent written, verbal, and presentation skills. Commitment to fostering an inclusive, diverse, and high-performing workplace culture. Why TURNBRIDGE? Work on cutting-edge AI, machine learning, and computer vision initiatives. Influence both product strategy and technical direction. Collaborate with highly skilled engineers, data scientists, and business leaders. Drive measurable business impact through innovative technology solutions. Join a culture focused on excellence, accountability, collaboration, and continuous innovation. Ready to make an impact? Apply today and help shape the future of AI-powered computer vision solutions.

Job Description Here at Appian, our values of Intensity and Excellence define who we are. We set high standards and live up to them, ensuring that everything we do is done with care and quality. We approach every challenge with ambition and commitment, holding ourselves and each other accountable to achieve the best results. When you join Appian, you'll be part of a passionate team dedicated to accomplishing hard things, together. Are you looking to combine your passion for technology with your penchant for strategic problem solving? Appian Customer success is obsessed with great customer outcomes. We deliver mission-critical business impact fast, and are directly responsible for partnering with our customers to bring their best ideas to life. Joining the Customer Success team will provide you with the support and growth you need to strengthen and evolve your skills within the consulting field. We are seeking a Principal Technical Consultant to join our Customer Success Public Sector team. In this role, you will be engaging with our public sector customers post-sales to develop software solutions on the Appian platform. These applications help companies drive digital transformation and competitive differentiation. Your primary responsibility will be to lead projects and work throughout the entire project life-cycle to define, design, develop and implement custom software and AI solutions using Appian's platform for our commercial clients. This includes working within an agile environment to understand our client's business processes and technical needs, launch new relational data models in production, developing APIs to integrate with multiple systems, partnering with Appian Architects and Technical Delivery Managers, and leading/mentoring consultants through fast-paced software implementations. You'll brainstorm AI use cases and implement Appian's AI tools by applying retrieval augment generation (RAG), agentic workflows, prompt engineering and the latest generative models as a part of transforming how customers run their organization. You will also collaborate with client's technical teams and business users as needed throughout the entire software and development life cycle and drive adoption by empowering clients to become self-sufficient with building process applications on their own. To be successful in this role, you need: • Passion for mentoring/developing others and experience leading teams through post-sale software implementation, • Ability to work with clients to define business processes and gather functional and technical system requirements, • Excellent communication skills, passion for technology and continuous learning, and affinity for asking "why" and solving the right problems, • History of success on cross-functional teams; experience building products using agile methodologies (pair programming, stand-ups, planning sessions, and sprints), • Basic understanding of object oriented programming, experience working with relational databases and database design/data modeling, and SQL skills (writing queries, joins, views, etc), • Knowledge of software testing practices (test-driven development, automated test suites within a continuous integration framework); integrations experience using APIs such as REST and SOAP, JDBC connections, and web services; familiarity with Amazon Web Services (AWS), Artificial Intelligence (AI), Analytics, Machine Learning, Google Cloud, Application Integration, Database, Developer Tools, Management & Governance, and Elastic Containers is preferred Basic qualifications: • US Citizenship - candidates being considered for a Public Sector roles must be a U.S. citizen, • 7+ years of experience with hands-on software development or technical consulting, • B.S./B.A. in Engineering, Computer Science, Information Systems, Mathematics or related field/degree, • Willingness to travel; 20% or less annually to support customer engagement The base salary range provided represents a good faith and reasonable estimate of the range at the time of posting. In addition to the base salary, this position is eligible for a government clearance differential. Actual compensation will be dependent on a number of factors including, but not limited to, the candidate's relevant work experience, qualifications, internal peer equity, and market and business conditions that exist when extending an offer. A discretionary bonus may be awarded in recognition of individual and company performance. In addition, Appian provides generous benefits offerings that include a 401(k) plan with company match, flexible time off, paid parental leave, medical, dental, and vision plans, life insurance, disability insurance, wellness programs, flexible spending accounts, health savings account contributions, an employee referral bonus program, and learning and development resources. Certain positions may be eligible for equity awards. Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation, commission, bonus, or benefit plans. Base Salary Range$100,000—$225,000 USD Tools and Resources • Training and Development: During onboarding, we focus on equipping new hires with the skills and knowledge for success through department-specific training. Continuous learning is a central focus at Appian, with dedicated mentorship and the First-Friend program being widely utilized resources for new hires., • Growth Opportunities: Appian provides a diverse array of growth and development opportunities, including our leadership program tailored for new and aspiring managers, a comprehensive library of specialized department training through Appian University, skills based training, and tuition reimbursement for those aiming to advance their education. This commitment ensures that employees have access to a holistic range of development opportunities., • Community: We'll immerse you into our community rooted in respect starting on day one. Appian fosters inclusivity through our 8 employee-led affinity groups. These groups help employees build stronger internal and external networks by planning social, educational, and outreach activities to connect with Appianites and larger initiatives throughout the company. Benefits Appian offers a comprehensive benefits package designed to support your health, wellbeing, and financial future. Benefits may include health coverage, Employee Assistance Program (EAP) with free mental health support, life and disability insurance, an Employee Stock Purchase Program (ESPP), a retirement/pension plan, wellness dollars, tuition reimbursement, family-forming benefits and more. Benefits vary by country—please ask your Talent Acquisition contact for details specific to the location you are applying to. About Appian Appian provides AI automation for mission-critical work. We automate complex processes in large enterprises and governments. Our platform is known for its unique reliability and scale. We've been automating processes for more than 25 years and understand enterprise operations like no one else. For more information, visit appian.com. [Nasdaq: APPN] Follow Appian: LinkedIn, Youtube, Instagram, Facebook Appian is an equal opportunity employer that strives to attract and retain the best talent. All qualified applicants will receive consideration for employment without regard to any characteristic protected by applicable federal, state, or local law. Appian provides reasonable accommodations to applicants in accordance with all applicable laws. If you need a reasonable accommodation for any part of the employment process, please contact us by email at ReasonableAccommodations@appian.com. Please note that only inquiries concerning a request for reasonable accommodation will be responded to from this email address. Appian's Applicant & Candidate Privacy Notice

Job Description Here at Appian, our values of Intensity and Excellence define who we are. We set high standards and live up to them, ensuring that everything we do is done with care and quality. We approach every challenge with ambition and commitment, holding ourselves and each other accountable to achieve the best results. When you join Appian, you'll be part of a passionate team dedicated to accomplishing hard things, together. Are you looking to combine your passion for technology with your penchant for strategic problem solving? Appian Customer success is obsessed with great customer outcomes. We deliver mission-critical business impact fast and are directly responsible for partnering with our customers to bring their best ideas to life. Joining the Customer Success team provides you with the support and growth you need to strengthen and evolve your consulting skills while driving next-generation, AI-powered digital transformations. We are seeking a Technical Consultant to join our Customer Success team. In this role, you will be engaging with our customers post-sales to develop software solutions on the Appian platform. These applications help companies drive digital transformation and competitive differentiation. Your primary responsibility will be to work throughout the entire project life-cycle to define, design, develop and implement custom software and AI solutions using Appian's platform for our commercial clients. This includes working within an agile environment to understand our client's business processes and technical needs, launch new relational data models in production, and developing APIs to integrate with multiple systems. You'll brainstorm AI use cases and implement Appian's AI tools by applying retrieval augment generation (RAG), agentic workflows, prompt engineering and the latest generative models as a part of transforming how customers run their organization. You will also collaborate with client's technical teams and business users as needed throughout the entire software and development life cycle and drive adoption by empowering clients to become self-sufficient with building process applications on their own. This role is based at our HQ in McLean, VA. Appian was built on a culture of in-person collaboration, which we believe is a key driver of our mission to be the best. Employees hired for this position are expected to be in the office 4 - 5 days per week to foster that culture, ensure we thrive through shared ideas and teamwork, and maximize opportunities to connect with the exceptional people across Appian. While working in-person with customers is our main priority, we also believe the office environment enables more opportunities to celebrate wins, collaborate effectively, and build strong relationships across teams. To be successful in this role, you need: • The ability to work with clients to define business processes and gather functional and technical system requirements, • Excellent communication skills, passion for technology and continuous learning, and affinity for asking "why" and solving the right problems, • History of success on cross-functional teams; experience building products using agile methodologies (pair programming, stand-ups, planning sessions, and sprints), • Basic understanding of object oriented programming, experience working with relational databases and database design/data modeling, and SQL skills (writing queries, joins, views, etc), • Knowledge of software testing practices (test-driven development, automated test suites within a continuous integration framework); integrations experience using APIs such as REST and SOAP, JDBC connections, and web services; familiarity with Amazon Web Services (AWS), Artificial Intelligence (AI), Analytics, Machine Learning, Google Cloud, Application Integration, Database, Developer Tools, Management & Governance, and Elastic Containers (preferred) Basic qualifications: • US Citizenship - candidates being considered for a Public Sector roles must be a U.S. citizen, • 1+ years of experience with hands-on software development or technical consulting, • B.S./B.A. in Engineering, Computer Science, Information Systems, Mathematics or related field/degree, • Willingness to travel; 20% or less annually to support customer engagement The base salary range provided represents a good faith and reasonable estimate of the range at the time of posting. In addition to the base salary, this position is eligible for a government clearance differential. Actual compensation will be dependent on a number of factors including, but not limited to, the candidate's relevant work experience, qualifications, internal peer equity, and market and business conditions that exist when extending an offer. A discretionary bonus may be awarded in recognition of individual and company performance. In addition, Appian provides generous benefits offerings that include a 401(k) plan with company match, flexible time off, paid parental leave, medical, dental, and vision plans, life insurance, disability insurance, wellness programs, flexible spending accounts, health savings account contributions, an employee referral bonus program, and learning and development resources. Certain positions may be eligible for equity awards. Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation, commission, bonus, or benefit plans. Base Salary Range$75,000—$175,000 USD Tools and Resources • Training and Development: During onboarding, we focus on equipping new hires with the skills and knowledge for success through department-specific training. Continuous learning is a central focus at Appian, with dedicated mentorship and the First-Friend program being widely utilized resources for new hires., • Growth Opportunities: Appian provides a diverse array of growth and development opportunities, including our leadership program tailored for new and aspiring managers, a comprehensive library of specialized department training through Appian University, skills based training, and tuition reimbursement for those aiming to advance their education. This commitment ensures that employees have access to a holistic range of development opportunities., • Community: We'll immerse you into our community rooted in respect starting on day one. Appian fosters inclusivity through our 8 employee-led affinity groups. These groups help employees build stronger internal and external networks by planning social, educational, and outreach activities to connect with Appianites and larger initiatives throughout the company. Benefits Appian offers a comprehensive benefits package designed to support your health, wellbeing, and financial future. Benefits may include health coverage, Employee Assistance Program (EAP) with free mental health support, life and disability insurance, an Employee Stock Purchase Program (ESPP), a retirement/pension plan, wellness dollars, tuition reimbursement, family-forming benefits and more. Benefits vary by country—please ask your Talent Acquisition contact for details specific to the location you are applying to. About Appian Appian provides AI automation for mission-critical work. We automate complex processes in large enterprises and governments. Our platform is known for its unique reliability and scale. We've been automating processes for more than 25 years and understand enterprise operations like no one else. For more information, visit appian.com. [Nasdaq: APPN] Follow Appian: LinkedIn, Youtube, Instagram, Facebook Appian is an equal opportunity employer that strives to attract and retain the best talent. All qualified applicants will receive consideration for employment without regard to any characteristic protected by applicable federal, state, or local law. Appian provides reasonable accommodations to applicants in accordance with all applicable laws. If you need a reasonable accommodation for any part of the employment process, please contact us by email at ReasonableAccommodations@appian.com. Please note that only inquiries concerning a request for reasonable accommodation will be responded to from this email address. Appian's Applicant & Candidate Privacy Notice

Job Description Data Scientist Location: Atlanta, GA Hybrid Employment Type: Full-Time About Us: Datavault AI, along with its event-technology subsidiary Event Citadel (formerly CompuSystems), operates across a diverse portfolio of technology and service divisions. Datavault AI Inc. delivers high-performance computing software, Web 3.0 data-management solutions, and advanced audio technologies to a broad range of industries. Event Citadel (formerly CompuSystems), founded in 1976, is a trusted provider of end-to-end event technology solutions, offering registration, ticketing, lead retrieval, and attendee-engagement services for events of all sizes across trade, association, corporate, and government markets. Job Description: We’re looking for a Data Scientist to drive measurable improvement of our AI systems — including a multi-agent LLM pipeline that profiles, classifies, and values customer data assets, and a classification service that builds our reference dataset from public sources. You’ll own the evaluation strategy, ground-truth corpus design, and statistical rigor that turns “the agent feels better” into “the agent is measurably 18% more accurate at industry classification on our latest corpus.” This is a hands-on, high-ownership role where you’ll be the technical authority on what “good” looks like for our AI outputs. Key Responsibilities: • Design, build, and maintain evaluation frameworks for our multi-agent LLM pipelines covering classification, PII detection, valuation, retrieval, segmentation, and synthesis — with regression-detection rigor., • Curate, expand, and version synthetic and real-world test corpora that exercise our AI pipelines end-to-end across 20+ industry verticals., • Quantify model performance: precision, recall, calibration, inter-rater agreement against human-verified ground truth, drift detection across releases., • Partner with engineering to design prompt experiments, agent variants, and structured-output schema iterations; report results with statistical confidence intervals — not anecdotes., • Improve vector-search comparable retrieval: embedding model selection, retrieval evaluation (recall@k, MRR), taxonomy refinement, classification accuracy uplift., • Evaluate prompt strategies, tool-use patterns, and routing logic; recommend model-tier choices backed by cost/accuracy data., • Profile production traces to identify failure modes (hallucinated outputs, mis-classifications, missed PII), then design experiments to fix them., • Work cross-functionally with engineering, product, and domain experts to translate fuzzy product goals (“the analysis should feel insightful”) into quantitative success metrics., • Communicate findings through written reports, dashboards, and decision memos that executive leadership can act on. Qualifications: • Bachelor’s degree in Computer Science, Statistics, Data Science, Machine Learning, or related quantitative discipline, or equivalent professional experience. Master’s or PhD preferred., • 3+ years of professional data science, ML engineering, or AI evaluation experience shipping models or AI systems to production., • Strong Python skills (Pandas, NumPy, scikit-learn, PyTorch or TensorFlow), with comfort writing production-quality code that engineers will run in CI., • Proven experience evaluating LLM-based systems: prompt experimentation, structured-output validation, hallucination detection, retrieval evaluation, judge-LLM patterns., • Solid grasp of classical statistics: hypothesis testing, confidence intervals, sample-size calculation, power analysis, calibration., • SQL proficiency for ad-hoc analysis on PostgreSQL; comfortable with embedded analytical databases for offline evaluation., • Experience with vector databases and embedding models., • Ability to translate business goals into measurable evaluation criteria, and willingness to push back when a “metric” doesn’t measure what stakeholders thin What We Offer: • Competitive salary and benefits package., • A fast-paced, high-impact work environment., • Opportunity to work closely with executive leadership., • The chance to work with cutting-edge technologies and make a significant impact., • A culture of innovation, ownership, and growth.