Top AI & Machine Learning Jobs in Chicago, IL

Leads fraud and risk-focused data science initiatives, using Python and advanced analytics to generate strategic insights and improve business performance. Manages client engagements, data pipelines, project execution, and teams while mentoring staff and resolving stakeholder issues. Responsibilities include building data architectures, developing visualizations, improving processes, and maintaining professional, technical, and independence standards.

Design and implement AI-enabled integration solutions, cloud architectures, and enterprise technology platforms. Lead strategic planning, analyze business requirements, conduct feasibility studies, coach teams, manage stakeholders, and validate solutions with clients. Apply generative and agentic AI, IoT, sensor data, systems thinking, and enterprise architecture practices to solve complex business problems and drive innovation.

Lead design and deployment of scalable AI and ML systems, drive business development, mentor AI engineering teams, collaborate with clients, implement data infrastructure and pipelines, and apply Python/Java to productionize models.

Lead design, development, and deployment of scalable AI/ML systems. Oversee data wrangling, integration, modeling, and software implementation. Use Python, C++, Java and ML libraries (TensorFlow, Scikit-Learn). Collaborate with stakeholders, validate outcomes, coach diverse teams, and drive innovation to deliver client-focused AI solutions at scale.