Top Machine Learning Jobs in Milwaukee, WI

The Data Science Manager will lead a multidisciplinary team in delivering data science solutions, ensuring alignment with strategic goals and managing project delivery processes.

As a Senior Solution Consultant, you'll advise clients on identity verification solutions, lead technical workshops, and collaborate with sales and engineering teams to ensure client satisfaction and product alignment.

The Director of Product Management for the Data Platform will drive the adoption and operational effectiveness of AlixPartners' data initiatives, ensuring stakeholder engagement and compliance.

As Head of Public Sector Sales, you'll define and execute the sales strategy for U.S. government sectors, managing complex sales cycles and building partnerships to drive revenue growth for TwelveLabs' AI technologies.

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

Own end-to-end go-to-market strategies for FiftyOne Enterprise, bridging technical ML engineering with commercial goals through strategic messaging, GTM execution, and market intelligence.

Lead and mentor a team in developing AI models for Airbnb's Community Support Platform, focusing on strategy, innovation, and technical excellence.

The AVP, Field Engineering will lead a team managing technical field practitioners throughout the customer journey, drive technical wins, and mentor leaders while building a collaborative culture.

As a Product Manager for Risk, you'll design fraud prevention tools, manage cross-functional teams, and improve fraud detection methods.

Lead data science initiatives, build and improve machine learning models, communicate insights to influence decisions, and foster analytical rigor in a collaborative environment.

The Clinical Informatics Lead oversees data annotation and informatics teams, ensuring data quality, compliance, and collaboration with clinical standards for healthcare solutions.

Join Articul8 AI as an Applied AI Researcher to conduct research, design AI models, and advance generative AI capabilities. Collaborate with teams and publish findings.

The Principal AI Researcher will lead GenAI research, design and implement new models, mentor teams, and guide product development strategies.

This role involves managing system enhancements, supporting project implementation, reengineering processes, and improving efficiency through automation and technology.

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.

As a Lead AI Engineer, design and implement AI and machine learning models and pipelines to enhance healthcare outcomes and efficiency.

Design and build systems for knowledge retrieval and operational plans, optimizing information retrieval processes to support real-time decision-making.

Design and implement machine learning pipelines for fraud and payment systems, collaborating with data scientists and engineers to enhance reliability and decision-making.

The fellow will conduct original security research on AI/ML systems, design attack methodologies, develop defensive techniques, and publish findings.

As a Senior Machine Learning Engineer, you will develop scalable ML solutions, collaborate with teams, optimize models, and implement best practices for deployments and infrastructures.

The Senior Applied Scientist II is responsible for designing and implementing ML models to optimize the supply chain, collaborating across teams, and driving data-driven decision-making.

The Senior Machine Learning Engineer will develop ML APIs, build data pipelines, and collaborate across teams to enhance ML models and applications.

The Appraisal Policy Analyst will collaborate with customers to enhance valuation quality, analyze feedback, facilitate onboarding, and work with cross-functional teams to align goals and improve processes.

The Senior Data Analyst will develop and evaluate Generative AI and LLMs, implement machine learning models, and collaborate with teams to enhance customer experience and deliver data insights.

The role involves designing and implementing scalable ML-based solutions, analyzing data patterns, and producing reports while staying updated on AI advancements.