Top Machine Learning Jobs in Atlanta, GA

Partner with functional leaders to translate business strategy into people strategy. Own org design, performance management, compensation, talent development, engagement, and retention. Provide coaching on career pathing, change management, and sensitive employee issues. Use people data to generate insights and recommendations, build compliant HR policies, manage global employee relations, and collaborate with People Team COEs to deliver cohesive people programs at scale.

Lead and transform the Fraud Intelligence Team into a high-impact function by improving operating models, QA, tooling, and metrics; build entry-level talent programs; connect labeling to measurable fraud prevention outcomes; deliver actionable insights to Product, R&D, Analytics, and GTM; and leverage AI and automation to increase productivity and business impact.

You will tackle AI challenges, develop scalable software and collaborate with teams to enhance healthcare navigation using AI solutions.

Own product strategy and delivery for chat, voice, and proactive support surfaces to maximize automation rates and CSAT. Build AI-integrated capabilities with ML/LLM teams and vendors, partner with Engineering, CX Operations, Data Science, and Compliance on platforms (Amazon Connect, Sprinklr, Salesforce), drive build-vs-buy decisions, and execute cross-functional delivery to optimize customer and agent experiences.

Serve as second-in-command for Coinbase Derivatives' Market Regulation Department, leading day-to-day regulatory compliance, managing exams and audits, advising on CFTC Core Principles, reviewing surveillance escalations and enforcement actions, and coordinating cross-functional regulatory workstreams to ensure the DCM meets obligations and resolves findings timely.

Provide legal guidance on Rubrik's AI use and products, ensuring compliance with laws and contracts, drafting and negotiating AI terms, coordinating generative AI review processes, educating employees, and improving AI review controls and workflows across cross-functional teams.

Partner with Supply Chain functions to design and deliver digital process improvements and analytics solutions (dashboards, automation, low-code apps, ML/AI). Own end-to-end delivery from intake, backlog prioritization, and data prep to deployment, adoption, and value realization while driving change management and reusable team practices.

Lead adoption and scaling of AI across supply chain: define roadmap, prioritize use cases, manage solution lifecycle from pilots to production, establish AI governance and playbooks, improve data readiness, drive stakeholder engagement, build community of practice, and measure business value.

Lead the Decision Science function, designing ML models, overseeing experimentation frameworks, and ensuring model adoption across the company, driving operational and commercial improvements.

The Senior Data Scientist will analyze data to drive product strategy, optimize performance, and support product launches, collaborating with cross-functional teams.

Collaborate with product and engineering teams to design, develop, test, and maintain front-end, back-end, or full-stack applications and integrations. Debug defects, participate in code reviews and Agile ceremonies, work with databases and cloud platforms, and explore AI/ML enhancements while using modern development tools and best practices.

Lead end-to-end design and modernization of CMS sales training by building scalable, competency-based curricula, AI-enabled personalized learning, LMS and virtual delivery ecosystems, and data dashboards that link training to field performance. Partner with sales, marketing, and medical affairs to elevate clinical and commercial capabilities and transform content into interactive, digitally enabled experiences that drive adoption and measurable impact.

Design, build, and implement web applications and back-end services. Work with generative AI models and cloud components, ensuring adherence to coding standards and managing project timelines.

Lead and manage a team of data scientists to design, develop, and deploy AI/ML and analytic models for supervisory risk identification. Oversee model risk management, prioritize technical workstreams, build stakeholder partnerships across the Reserve Bank and System, and provide technical thought leadership and governance for advanced analytics.

The Senior Product Manager will oversee the strategy and development of telematics data products, manage cross-functional teams, and ensure product viability and market alignment through customer insights and technical fluency.

Own and execute multi-year strategic partnerships with a hyperscaler and an AI lab, aligning technical integrations, commercial motions, and joint go-to-market plans. Coordinate cross-functional teams, run operational cadences, track measurable outcomes (pipeline, ARR, integrations), and represent partnerships to executives while driving hands-on execution and follow-through.

Lead a small team to design, build, deploy, and monitor ML/AI solutions for Claims (fraud, triage, severity, litigation, subrogation). Manage projects, collaborate with engineering and IT, follow model governance, and mentor staff.

Lead enterprise capacity planning and forecasting modernization across servicing, collections/recovery, and complaints. Build probabilistic, scenario-based, AI-enabled planning models, deliver executive tradeoffs, link capacity to KPIs and financials, operationalize cross-functional workforce strategies, and lead a high-performing team to optimize staffing, automation impact, and performance management.

Serve as strategic HR business partner to Forge & AI leadership, owning workforce planning, talent strategy, succession, leadership development, retention, organizational design, and large-scale change. Deliver workforce analytics and AI-enabled HR practices, advise the CTO on talent decisions, and build pipelines for AI, software, and platform engineering across US and India.

Lead and manage an AI engineering team to design, develop, and implement machine learning and deep learning models. Collaborate with cross-functional teams to integrate AI solutions, provide technical leadership, and stay current with AI advancements to drive continuous improvement.

Lead architecture and delivery of ontology-driven, production-grade AI/ML platforms. Define enterprise ontologies, semantic models, and scalable data/model pipelines. Drive MLOps, model governance, XAI, cloud/edge/on-prem architectures. Mentor senior architects, influence executives, and ensure responsible AI adoption across the enterprise.

Design, develop, and deploy AI/ML models and data-driven solutions for Honeywell business groups. Collaborate with data engineers and architects to integrate models into production, define data acquisition strategies, govern analytics strategy, and promote AI/ML best practices across the Forge platform.

Lead analytic role validating and integrating data, designing/managing databases and dashboards, conducting advanced statistical and machine learning analyses, and reporting insights to executive leadership. Oversees methodology and project design for research, trains staff, and provides consultation to improve organizational performance and reporting.

Design, develop, integrate, deploy, and maintain AI solutions across sales, manufacturing, finance, logistics, and IT. Collaborate with cross-functional teams, document systems, provide user training and support, research emerging AI technologies, and troubleshoot production deployments.

Design and deploy predictive risk and segmentation models for commercial insurance underwriting and pricing. Apply actuarial principles, statistical and ML techniques, manage large datasets, validate and monitor models, and translate analytical outputs into actionable insights for product and underwriting teams.