Top Machine Learning Jobs in Atlanta, GA

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 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.

The Technical Product Owner will lead product initiatives by defining requirements, managing the product backlog, and ensuring successful payment integrations while collaborating with engineering and risk teams.

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 CX Research & Modeling Analyst is responsible for developing and optimizing text analytics models using NLP and ML, to enhance customer experience insights. This role collaborates with CX teams and stakeholders to ensure accurate and actionable customer feedback across multiple business units.

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

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.

The role involves leading strategic AI partnerships, driving revenue growth, and managing cross-functional teams while advocating for AI initiatives internally and externally.

The Technical Sales Enablement Manager will design and deliver programs for Solutions Architects and sellers to improve technical competency and sales effectiveness in a fast-paced environment.

The Staff Data Scientist will lead the development and deployment of ML and GenAI systems to detect billing errors and fraud in healthcare payments, collaborating with cross-functional teams.

The Senior Manager of Data Insights will lead a team to optimize data sharing and governance, develop data strategies, and deliver actionable business intelligence across Docker's operations.

As a Senior Staff Machine Learning Engineer, you will drive AI product development, collaborate with cross-functional teams, and enhance ML models at scale.

The DS&ML Group Product Manager oversees Data Science and Machine Learning capabilities, defining strategic vision, managing product portfolios, and ensuring delivery aligned with business needs. Responsibilities include developing roadmaps, executing models, scaling functionalities, and mentoring a team.

Lead the design and optimization of programmatic bidding systems, collaborating with engineers and applying analytical methodologies to enhance performance.

As the Engineering Manager, you'll lead technical initiatives in reporting and fraud prevention, build high-performing teams, and influence product strategy.

The Customer Success Manager will drive user adoption and value realization for ISP customers, manage onboarding and retention, and collaborate cross-functionally to enhance customer satisfaction and business growth.

Lead technical pre-sales engagements, design tailored solutions, demonstrate platform capabilities, assess customer needs, and expand relationships within life sciences and health technology.

The Director of Research will lead DataLab at Protege, defining the research agenda and managing a high-performing team focused on AI data challenges and methodologies.

SoftSnow is seeking an AI Ethicist to define ethical guidelines, assess risks, and ensure compliance in AI implementations across various industries.

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

Develop large-scale Foundation Models for Autonomous Driving & Robotics, collaborating with teams, optimizing model performance, and mentoring junior members.

Lead the Data Platform Product and Program Management, defining the strategic roadmap, overseeing Agile practices, managing teams, and ensuring seamless integration of technical and commercial goals.

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

Lead AI initiatives by managing a team, developing AI algorithms, collaborating across teams, and driving continuous improvement in AI solutions.