Top Machine Learning Jobs in Atlanta, GA

Design and implement AI/ML systems for healthcare challenges, manage machine learning systems, and develop data pipelines for real-time insights.

Lead a team of data scientists to implement advanced data science projects, focusing on machine learning, GenAI, and strategic initiatives for business impact.

Lead a team of data scientists to develop and deliver Generative AI solutions. Collaborate with cross functional teams and monitor production solutions.

The Data Analyst will conduct full lifecycle analysis, develop reporting capabilities, monitor performance, and identify improvements in data quality and efficiency.

The Principal Product Manager will lead the Underwriting team to improve credit risk models, manage vendor relationships, and analyze portfolio performance.

The Staff Research Scientist will conduct AI research, innovate in LLM and information retrieval, and collaborate with research teams.

As a Software Engineer for Agentic Search, you will build AI-powered search infrastructure, develop query understanding, and collaborate with cross-functional teams for optimal search performance.

The Principal AI/ML Engineer will develop machine learning models for campaign optimization in AdTech, collaborating across engineering and product teams to enhance advertising capabilities.

Lead the architecture and management of AI/ML infrastructure using Kubernetes and Terraform, optimizing hybrid environments for performance and scalability.

The role involves building and optimizing a machine learning and simulation platform, supporting MLOps, model deployment, and infrastructure modernization, while mentoring engineers.

The Business Data Architect will develop and maintain business architecture models, data strategies, and governance while collaborating with various departments to integrate legal technology and ensure data integrity, supporting business operations and strategic initiatives.

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 MLOps Engineer will develop, deploy, and maintain machine learning models, collaborating across teams to apply best-fit ML algorithms and technologies.

As a PhD Systems & AI/ML Research Intern, you'll work on infrastructure problems, build prototypes, run benchmarks, and document findings.

As a Staff Machine Learning Engineer, you will design AI products on Edge devices, optimize ML model performance, and work with large-scale datasets, collaborating across teams to deliver impactful solutions.

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.

Lead the development of audit practices, enhance methodologies, integrate data analytics, ensure compliance, mentor teams, and communicate effectively with leadership.

Manage global technical support teams for MongoDB, focusing on customer satisfaction through technical issue resolution, performance enhancement, and team development.

Lead portfolio fraud strategy teams, drive innovation, analyze fraud data, collaborate with teams, maintain fraud policies, and manage client relationships to enhance fraud strategies.

Lead the development of machine learning systems for Cedar's Personalization Engine, focusing on ML modeling, MLOps, and team management to drive healthcare solutions.

The AI Sales Specialist will develop sales strategies, engage clients, manage relationships, negotiate contracts, and provide insights on AI technologies to drive business value for enterprise clients.

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 VP of Salesforce Engineering drives the strategic vision, architecture, and delivery of Salesforce solutions in a leadership role, ensuring alignment with organizational goals and managing a high-performing engineering team.

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