Top Machine Learning Jobs in Atlanta, GA

The role requires a skilled Machine Learning Engineer to create complex models and AI solutions while collaborating with teams to enhance products and services.

Lead the implementation of AI-driven supply chain solutions, collaborating with clients to enhance their business processes and ensure seamless technology integration.

Lead Reliability & Observability initiatives, collaborate with engineering and product teams, ensure robust operations of Airbnb's platform, and drive AI projects.

As a Product Manager for Partnerships, you'll drive execution of partnerships by defining requirements, prioritizing tasks, and ensuring high-quality integration of partner-driven initiatives. You'll work across business development, engineering, and operations, managing multiple integrations effectively, and may require up to 30% travel for collaboration with partners and teams.

The role involves researching, developing, and implementing AI solutions, optimizing models, integrating AI into workflows, and collaborating with teams to enhance business efficiency.

Design and implement credit strategies using data, machine learning, A/B testing and advanced analytics to optimize underwriting, pricing, and credit line decisions. Lead end-to-end analytics for credit card products, monitor portfolio performance, conduct root-cause analysis, partner cross-functionally, and communicate findings to stakeholders.

Manage the development and implementation of Evio Compass, an analytic product identifying patient risks, while guiding cross-functional teams to drive customer success and enhance ML/AI product features.

The Director of Product, Ecosystem is responsible for managing partnerships and integrations in the AI space, guiding product strategy and development, and engaging with external companies.

As a CBRN expert at Alice.io, you will evaluate and create prompts for Generative AI systems, ensuring their safety and accuracy in CBRN contexts. You'll provide expert feedback and stay updated with relevant research and regulations.

The role involves building, deploying, and maintaining ML infrastructure, optimizing systems, and ensuring production reliability while collaborating with data scientists and product teams.

As the Director of Measurement Strategy, you will define the analytics roadmap, manage client relationships, lead analytics projects, drive revenue growth, and develop your team while ensuring high-quality analytics delivery.

Lead pre-sales technical engagements for Conversational and Generative AI solutions, collaborate across teams, and design value-driven demos for enterprise customers.

The AI/Machine Learning Specialist designs and implements AI solutions, collaborates with cross-functional teams, and continuously improves ML processes.

The FBS Lead Analyst manages day-to-day finance operations, collaborates with teams, supports continuous improvement, and leads a small team of analysts.

The VP of Engineering will lead a high-performing team to develop AI-enabled technologies, managing technical vision and execution strategies while ensuring product reliability and security in complex environments.

The Solutions Architect will bridge customers and sales, ensuring the technical fit of software solutions, leading demos, and managing deployments effectively.

The role involves managing relationships with insurance customers, driving revenue growth, collaborating with partners, and developing strategic plans to enhance NVIDIA's enterprise presence in the financial services sector.

The Staff Product Manager will define product strategy, lead the product lifecycle, collaborate across teams, and drive innovation in claims processing software.

As a Principal Product Manager, you'll lead product strategy, collaborate across teams, utilize data for decision-making, and partner with top executives to drive product success.

The Customer Success Engineer will lead deployments, serve as a technical advisor, and support customer engagement, focusing on product enhancements and user experience.

Seeking a Senior Researcher to evaluate and optimize video datasets for training generative video models, ensuring data quality and effectiveness through analysis and characterization.

Lead technical solution development for military and Federal civilian health capture and proposal efforts, ensuring technical compliance and producing quality architecture designs.

Design, develop, and deploy AI/ML models and pipelines, collaborate with engineers, and document for reproducibility. Requires strong Python and ML framework skills.

The role involves designing and automating MLOps systems, maintaining ML training pipelines, deploying models, and optimizing infrastructure for machine learning experimentation.

The role involves managing data products, collaborating with data scientists and engineers, and enhancing machine learning solutions while ensuring product alignment with business objectives.