Top Machine Learning Jobs in Atlanta, GA

As a Senior Machine Learning Engineer at Reserv, you will develop AI models and machine learning solutions, mentor junior data scientists, and collaborate with cross-functional teams to address operational inefficiencies. You will design scalable architectures and ensure high-quality code delivery.

The Data Scientist will use expertise in AI and machine learning to create advanced analytics engines and services, communicate effectively with business partners, and lead collaborative analytic approaches. The role involves developing interpretable and scalable models and addressing various business challenges through innovative solutions.

The Principal Software Product Manager at Omnidian will lead the development of innovative data products, aligning with business goals through collaboration with cross-functional teams. Responsibilities include product documentation, client engagement, project management, and ensuring data metrics drive product enhancements. Key duties also involve creating detailed product roadmaps and conducting market trend analysis to inform product strategies.

You will lead a team to innovate in natural language processing, big data, and artificial intelligence, creating technologies that change digital interaction. This role demands creativity, strong collaboration skills, and the ability to develop prototypes rapidly.

As AI Lead at Gaia Dynamics, you'll lead and mentor an AI team, manage AI project lifecycles, design AI models for regulatory compliance, develop solutions for processing legal documents, and align AI strategies with business objectives while fostering collaboration across departments.

As a Senior Technical Product Manager, you will oversee the development of products and processes for evaluating machine learning models, ensuring quality, accuracy, and ethical implementation. You will manage QA strategies, data quality, and automate testing frameworks while collaborating closely with engineering teams to improve model performance and report findings.

The Principal Engineer, AI/ML will lead competencies in machine vision, NLP, and generative AI. Responsibilities include designing and fine-tuning machine learning models, deploying and monitoring models on the cloud, and ensuring scalable and robust systems and APIs.

In this role, you will refine and optimize machine learning systems, focusing on model training, pipeline development, and fine-tuning large language models. You will collaborate with product and business teams, implement feedback systems, and mentor junior members, ensuring your ML solutions drive innovation and results.