Top Senior Machine Learning Jobs in Atlanta, GA

Lead the development and implementation of machine learning solutions, managing a team to drive strategic decisions and innovative business outcomes.

Own and execute the billing, financial, and corporate systems product roadmap. Define end-to-end experiences, lead 1-2 scrum teams, prioritize work using qualitative and quantitative data, and collaborate across Finance, Receivables, HR, analytics, UX and commercial teams to deliver automated, data-driven solutions that improve billing and financial functions.

The Senior AI/ML Architect defines scalable AI solutions, collaborates on system architecture, optimizes generative AI models, and mentors engineering teams while ensuring performance and security compliance.

The Staff ML Research Scientist will lead research in deep learning for drug discovery, develop innovative models, and integrate them into commercial software. Responsibilities include mentoring junior researchers and contributing to scientific publications.

As a Senior Machine Learning Engineer, you will develop and deploy AI-driven products to enhance clinical trials, collaborating with teams to improve patient care through scalable machine learning solutions.

The Senior Machine Learning Engineer will manage the lifecycle of ML models, transform prototypes to production code, build training pipelines, and monitor system performance.

As a Senior Machine Learning Engineer, you will drive AI initiatives, collaborate across teams, and develop scalable ML infrastructure to improve healthcare.

The AI Strategist leads AI initiative ideation and planning, collaborates across departments to define use cases, and ensures alignment with strategic and regulatory goals.

As a Senior AI Engineer, you will develop and optimize Generative AI applications, manage AI pipelines, collaborate with clients, and ensure production delivery with MLOps best practices.

As a Senior Fullstack Engineer, you'll architect and build a high-concurrency auction engine, leveraging AI for enhanced user experiences and system reliability.

The Sales Engineer will serve as a technical lead, guiding clients on advanced data integration and analytics solutions in healthcare, impacting revenue and client engagement.

As a Staff Product Manager for Ads Optimization, you will define strategies for campaign performance, collaborate with engineering and data teams, and present insights to leadership, focusing on optimization and automation.

The Sr. Director of Revenue Enablement drives strategic sales transformation, develops enablement programs, integrates AI tools, and leads a team to improve sales outcomes.

Lead the development of generative AI tools for fashion, guiding ML engineers, and implementing innovative AI systems and workflows.

As a Senior Machine Learning Engineer, you will enhance diffusion models, conduct research, collaborate on system implementations, and communicate findings effectively.

Seeking a Senior Data Scientist to develop AI/ML models for predictive maintenance and logistics forecasting, ensuring alignment with mission objectives and collaborating within Agile teams.

The Senior ML Engineer will architect ML infrastructure, deploy models, manage data, ensure MLOps practices, and collaborate on data projects with diverse teams.

Lead and manage a team developing ML models for self-driving vehicles, define motion planning projects, and collaborate with cross-functional teams to enhance performance.

Lead the development of advanced perception algorithms for self-driving vehicles. Collaborate and mentor engineers, optimize algorithms, and implement sensor fusion for robust perception systems.

The Director of Product, Payor Solutions drives product strategy for CopilotIQ, focusing on developing AI-powered solutions for health payors to enhance care models and patient engagement.

The AI Innovation Lead will define and drive AI initiatives, lead projects, foster AI adoption, and collaborate with product teams to enhance AI capabilities at Janea.

Design and implement scalable machine learning systems, analyze large datasets, and develop data-driven solutions in collaboration with clients. Lead teams and grow CapTech's practices through presentations and proposals.

Lead the design and implementation of machine learning solutions, providing technical leadership and mentoring in developing scalable systems for clients.

Lead Machine Learning Engineer is responsible for designing and implementing data-driven solutions, optimizing and deploying machine learning systems, and mentoring junior staff while working collaboratively across teams.

As a Senior Machine Learning Engineer, you will architect and build scalable ML infrastructure, influence technical direction, mentor engineers, and ensure effective production deployment, collaborating closely with AI teams.