Top Machine Learning Jobs in Atlanta, GA

The AI/ML Engineer will design, develop, and deploy AI/ML models and systems, integrate them with products, and maintain AI/ML infrastructure while driving innovation through R&D initiatives.

The Machine Learning Research Scientist at Lazarus will design and implement AI models to enhance document management and processing across enterprises. Responsibilities include conducting research, collaborating with engineering teams, and delivering impactful solutions while staying abreast of the latest advancements in AI technology.

The Senior Software Engineer will design, build, and maintain scalable machine learning systems, collaborating closely with engineers and researchers. Responsibilities include deploying ML models, managing cloud services, and developing infrastructure for rapid ML development.

As a Senior AI/ML Engineer, you will design, train, and deploy machine learning models, collaborate with cross-functional teams, and maintain machine learning pipelines. You will utilize tools such as PyTorch, Kubernetes, and Apache Spark, and will need a strong understanding of various machine learning subfields with a focus on NLP, CV, and Time Series.

The Machine Learning Engineer will enhance the scalability and efficiency of data science solutions, operationalize AI/ML algorithms, and build automated systems for model training and monitoring, collaborating closely with data scientists and product teams.

The Principal ML Engineer will lead the machine learning platform engineering team, providing hands-on technical leadership, mentorship, and code reviews. They will ensure operational excellence by delivering superior infrastructure, collaborating with product managers and data scientists, and guiding innovation in AI/ML technologies.

The Senior ML Operations Engineer will design and develop machine learning and AI systems, collaborate with data teams to solve business problems, and deploy solutions using cloud infrastructure. The role requires experience in building scalable ML infrastructure and mentoring team members.

The Staff ML Operations Engineer will build machine learning and AI products, collaborating with data engineers and scientists. Responsibilities include designing ML systems, supporting AI Ops, customizing large language models, leading big data system designs, and translating business needs into AI solutions. They will mentor team members and ensure scalable software solutions for big data initiatives.

The Practice Director will drive the success of the Data Engineering and AI/ML practice, providing strategic and technical leadership while managing a team of data professionals. Responsibilities include leading client engagements, ensuring practice growth, mentoring team members, and overseeing project delivery with a focus on analytics and cloud adoption.

The Senior Software Engineer will design, develop, and deploy machine learning models for ad measurement, targeting, and ranking. They will improve ad performance through ML models, collaborate cross-functionally to define the Ads ML roadmap, and scale ML infrastructure to support ad campaigns while ensuring low-latency decision-making.

The Senior AI/ML Engineer will develop machine learning models and pipelines for a platform aiding DoD operators and analysts. Responsibilities include collaborating with data teams, managing machine learning lifecycle, and deploying models while focusing on computer vision applications.

As a Senior ML Ops Engineer, you will develop and maintain scalable ML pipelines, automate workflows, monitor and optimize models in production, collaborate with cross-functional teams, ensure compliance and security, and maintain documentation of ML processes.

The ML Research Engineer will develop and implement advanced AI solutions focusing on LLMs, computer vision, and generative AI. Responsibilities include conducting independent research, optimizing training pipelines, model deployment in constrained environments, and collaborating with teams to translate research into practical applications.

The Senior Machine Learning Engineer will lead the development and implementation of AI-powered solutions, focusing on Generative AI technologies. This involves designing AI solutions, collaborating with engineers and product managers, and driving the adoption of these technologies to enhance efficiency and customer experience.

The Machine Learning Engineer will build and scale machine learning models to enhance personalized recommendations. Responsibilities include collaborating with data scientists, ensuring high performance of real-time systems, and creating infrastructure for advanced recommendation systems.

The Staff Machine Learning Engineer at MyFitnessPal will lead the implementation of AI products and machine learning platforms, mentor engineers and data scientists, and ensure the delivery and maintenance of scalable recommendation systems and search features. Responsibilities include collaborating with teams to improve data quality and mentor peers in an inclusive environment.

As a Software Engineer focusing on backend and ML infrastructure, you'll build and maintain production pipelines for Machine Learning applications. Your responsibilities will include designing workflow orchestration systems, optimizing for scalability, and implementing techniques for managing unstructured data while contributing to product strategy.