Top Senior Machine Learning Jobs in Birmingham, AL

The AI & Data Science Director will lead AI strategies, foster technical leadership, support team development, and integrate generative AI into products.

As a Staff Full-Stack Engineer, you will manage end-to-end experiments, build full-stack product experiences, and drive product and technology experiments with various teams.

As a Sr Director Analyst, you will create actionable research in analytics and AI, advise clients, and lead a team in impactful research. Responsibilities include engaging clients, presenting insights, and mentoring team members in analytics & AI best practices.

The AI Developer role involves designing AI solutions for healthcare clients, focusing on transformation programs, AI integration, and development of CoEs. Responsibilities include client collaboration, AI/ML solution implementation, and leadership in project teams.

The Director of Data Sciences leads a team in strategic initiatives, drives machine learning and AI solutions, and manages resources to enhance data-driven decision making across the business unit.

The Forward Deployed Engineer collaborates with clients to solve complex problems using technology, integrating systems, writing production code, and leading projects to deliver impactful solutions in areas like financial crime prevention and national security.

As a Principal Data Scientist, you'll design and deploy cutting-edge machine learning models to drive financial success for customers and guide technical teams.

The Principal Data Scientist will design, develop, and deploy machine learning models, innovating methodologies and collaborating across teams to enhance financial decision-making and risk management.

Lead the Client Solutions team, ensuring the execution of complex transactions while driving innovation and client advocacy. Oversee operations, build client relationships, and implement strategic frameworks for growth.

As a Data Scientist, you will build predictive models, develop software tools, and analyze geoscientific data to support mineral exploration and discovery.

The Senior Product Manager will lead the integration of machine learning into search relevance, defining product vision and collaborating with teams to enhance ecommerce search functionality.

As a Solutions Engineer, you will drive sales growth, support partnerships, and deliver AI-driven solutions while collaborating with various teams.

Lead a team to develop groundbreaking technology combining NLP, big data, and AI to enhance digital communication and interaction.

The Senior Product Manager will lead product initiatives, manage the product lifecycle, and ensure solutions meet customer needs while driving market growth and achieving KPIs.

The GTM role focuses on increasing revenue through new sales and partnerships, understanding client needs, and communicating product value.

Lead Yahoo's data organization, defining strategy and ensuring effective data infrastructure supporting AI-enhanced user products. Collaborate with cross-functional teams, mentor talent, and advocate for data-driven culture.

The Sr. GTM AI Architect leads the design and deployment of AI capabilities across the GTM tech stack, focusing on sales, marketing, and customer success workflows, driving insights and automation for enhanced productivity and revenue outcomes.

Lead the software engineering team to develop and implement machine learning models for energy trading, manage software operations, and streamline processes while utilizing advanced techniques for performance evaluation.

The Senior Staff Machine Learning Scientist will lead research initiatives in computer vision and multimodal understanding, develop novel models, and translate research into practical applications while mentoring team members.

The Engineering Manager will lead a team of Data Scientists and ML Engineers to build a Dispatch Optimization platform, focusing on model deployment and operational excellence.

The Principal ML Engineer at Agero will develop and productionize a Dispatch System using ML models, optimize decision-making processes, and lead a team to improve operational performance.

The AI Engineer will design, implement, and prototype GenAI and ML solutions to enhance operational intelligence and efficiency in investment services.

The Senior Backend Data Engineer will extend data ingestion and processing pipelines, build APIs and backend services, and provide technical leadership.

The Senior Product Architect will design security products, collaborating with product management and engineering teams, focusing on architecture and functionality for high-level product features.

The Staff Machine Learning Engineer will design and build scalable ML systems, mentor engineers, and drive AI strategy at SailPoint, focusing on AI-powered identity security solutions.