Top Senior Machine Learning Jobs in Milwaukee, WI

The AI Product Owner will lead AI-driven solutions for battery innovation at Clarios, collaborating with stakeholders to enhance productivity and ensure compliance, while managing vendor relationships and promoting AI literacy across the organization.

The Senior Machine Learning Engineer at CDW will develop and deploy ML models, manage data pipelines, and collaborate with teams to solve business problems using AWS technologies.

Design and build ML features using LLMs, collaborate on technical architecture, and ensure safety and performance of deployments.

Lead the Data Science & POCs team to optimize fraud analytics and decision systems, managing projects, mentoring staff, and collaborating with teams to reduce fraud losses.

Lead the strategic adoption of AI and emerging technologies, define AI roadmaps, guide implementations, and foster cross-functional collaboration to drive innovation initiatives.

Lead pre-sales technical engagements for Conversational and Generative AI solutions, collaborate across teams, and design value-driven demos for enterprise customers.

The Senior AI Engineer will build a platform enabling users to create intelligent agents, focusing on multi-agent frameworks and orchestration of LLMs.

As a Staff Applied Scientist, you will develop AI models and prototypes, collaborate with teams, and design experiments to drive scalable solutions in the legal domain.

Design, build, and improve ML and generative AI solutions for healthcare. Collaborate across teams, lead AI initiatives, and mentor junior members.

Lead a small engineering team in developing and deploying core product functionality, ensuring high quality and security standards. Collaborate with cross-functional partners while managing and scaling the team effectively.

As a Staff Product Manager, you will enhance expert product experiences, driving technology solutions and AI integration to improve customer interactions and satisfaction while collaborating with various stakeholders.

The Infrastructure Architect will design scalable and secure infrastructure solutions for digital initiatives such as cloud adoption and machine learning while collaborating with teams to meet business and regulatory goals.

Lead the development of AI-powered applications, mentor engineers, architect AI-enhanced systems, and drive technical innovation through cutting-edge technologies.

The Principal Product Manager will define and execute the product roadmap for the Data and AI Platform, collaborating with engineering and sales to develop AI-powered identity security solutions.

The Senior Responsible AI Data Scientist will lead ethical AI initiatives, ensuring compliance and transparency while working cross-functionally to develop scalable AI solutions in healthcare.

As a Sr. Machine Learning Engineer, you'll develop ML solutions for healthcare, manage data pipelines, write production-ready software, and own ML services end-to-end.

The Senior Sales Specialist, AI will promote AI solutions, lead sales engagements, conduct customer discovery, and collaborate with teams for pipeline growth.

The Associate Principal leads Data & AI business development, managing client relationships and driving market strategies to exceed client expectations.

The Senior Product Manager will lead AI integration into products, collaborating cross-functionally to enhance user experiences, driving innovation and measurable impact for financial advisors.

As a Principal Engineer on the Behaviors team, you will guide the technology direction, lead complex initiatives, and mentor engineers to enhance autonomous vehicle capabilities through ML solutions.

Lead the Attack Detection team at Abnormal AI, focusing on developing high-recall machine learning detection engines and automating model retraining pipelines.

This role involves identifying partnership opportunities within the AI ecosystem, developing strategies, negotiating agreements, and measuring pilot success metrics. You will work closely with product and engineering teams to align partnerships with growth priorities.

The VP Analyst will conduct in-depth research on AI technologies in Cloud IT services, develop market insights, engage clients, and contribute to thought leadership.

Design and oversee deployment of data architecture, manage structured and unstructured data, and develop tools using AI and machine learning.

Develop and productionize a next-gen Dispatch System, build predictive models, automate processes, and lead a small team in optimizing operations.