Top Hybrid Machine Learning Jobs in Chicago, IL
The Sr. Applied Machine Learning Scientist will design and deploy advanced machine learning models for product discovery, utilizing technologies like NLP and computer vision while collaborating with ML scientists and engineers to integrate solutions into Grainger's platforms.
As a Data Scientist for Machine Learning Operations at Enova, you will develop, enhance, and deploy software to build and deploy critical models. The role involves conducting ad hoc analyses, interpreting data, and communicating findings to cross-functional teams while maintaining tools for efficient model lifecycle management.
As a Distinguished Engineer at Capital One, you will lead the development of machine learning solutions for banking. You will optimize model deployment and automation, mentor internal talent, and influence engineering practices across teams. You're expected to drive innovation and articulate a bold technical vision while collaborating with various stakeholders to achieve strategic objectives.
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The Machine Learning Engineering Specialist at ZS will design and implement ML features, collaborate with client teams, write production-ready code, ensure deliverable quality, conduct testing, participate in agile ceremonies, evaluate new technologies, and support project architecture.
A Data and Analytics Staff Consultant contributes as a team member on consulting projects, with a focus on building technical skills and providing effective training and knowledge transfer to clients. They are responsible for creating high-quality project documentation, refining business and technical requirements, and collaborating with engagement leads and stakeholders. The role requires strong communication skills and the ability to articulate the business value of technical solutions delivered to clients.
Top hybrid Companies in Chicago, IL Hiring Data + Analytics Roles
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