Top Machine Learning Jobs in Atlanta, GA

Lead Visa's North America Analytics team to develop machine learning models for fraud prevention, ensuring high-quality outputs and strong customer relationships. Manage, coach, and create processes for team effectiveness while consulting directly with customers to implement analytics and risk strategies.

The Senior Industry Marketing Manager will drive marketing strategy for AI/ML, develop initiatives, create content, and collaborate with sales teams.

The Senior Applied Scientist II is responsible for designing and implementing ML models to optimize the supply chain, collaborating across teams, and driving data-driven decision-making.

The Senior Machine Learning Engineer will develop ML APIs, build data pipelines, and collaborate across teams to enhance ML models and applications.

As a Senior Machine Learning Engineer, you will design ML infrastructure, lead zero-to-one initiatives, collaborate on projects, and enhance scalability in the development of ML applications.

The role involves building and optimizing a machine learning and simulation platform, supporting MLOps, model deployment, and infrastructure modernization, while mentoring engineers.

The Head of Engineering is responsible for leading a large engineering organization, developing product strategies, fostering technical excellence, and driving AI integration within a major consumer brand's product portfolio.

Lead machine learning initiatives to enhance underwriting model accuracy. Design and implement advanced training strategies and optimize workflows. Mentor engineers and influence modeling strategy.

The AI Sales Specialist will develop sales strategies, engage clients, manage relationships, negotiate contracts, and provide insights on AI technologies to drive business value for enterprise clients.

The Product Manager will lead strategy and execution for the Conversation Intelligence product suite, focusing on AI and machine learning insights from customer conversations. Responsibilities include defining the product roadmap, collaborating with engineers and designers, communicating with stakeholders, and ensuring feature delivery.

The CIO oversees technology delivery for Research and Public Information, ensuring strategic alignment, effective communication, and advanced computing capabilities to support the Federal Reserve's mission.

The role involves designing, optimizing, and deploying machine learning models for edge environments, focusing on computer vision. The engineer will collaborate with teams to integrate models and improve inference efficiency while mentoring peers and upholding company values.

Lead the development of machine learning systems for Cedar's Personalization Engine, focusing on ML modeling, MLOps, and team management to drive healthcare solutions.

Aimpoint Digital seeks new graduates for a full-time New Consultant Development Program. Participants will engage in hands-on onboarding, developing skills in data engineering, analytics, and decision sciences before joining consulting teams.

The ML Data Engineer develops and maintains machine learning pipelines and systems, collaborating with teams to optimize manufacturing processes through data-driven insights and predictive models.

The Senior AI Architect will design and develop scalable web applications, focusing on AI and analytics, collaborating with teams on software solutions.

The Senior Data Scientist will design and implement AI solutions for supply chain problems, develop features, and collaborate with engineers and product owners.

Lead end-to-end AI deployments and POCs for grocery retailers, working with sales and engineers to deliver production ML solutions (forecasting, optimization) that achieve measurable ROI and convert pilots to long-term partnerships.

Develop scalable machine learning services for data enrichment, managing the ML lifecycle from model training to deployment, and ensuring performance and reliability standards.

The Senior Software Engineer will develop ML training pipelines, maintain cloud systems, and optimize the ML lifecycle for dental products.

The Senior ML Ops Engineer will build and maintain infrastructure for AI/ML at scale, manage machine learning models, and support team initiatives while ensuring code quality and engineering standards.

Lead the machine learning and personalization efforts at Babylist, managing a team focused on enhancing product recommendations, search, and revenue through ML initiatives.

The Network Planner at Clorox manages inventory policies, oversees capacity planning, analyzes supply scenarios, and collaborates cross-functionally to optimize supply chain operations and budget processes.

The Solutions Engineer supports the sales team by providing technical expertise, conducting demonstrations, designing solutions, and managing complex integrations during the sales cycle.

The Director of Strategic Solutions will consult with global clients, develop AI use cases, manage customer engagement, and drive business development with collaborative teams.