Top Machine Learning Jobs in Chicago, IL
As a Data and Analytics Staff Consultant, you will collaborate on consulting projects, author project documents, manage your time efficiently, and support clients with training and knowledge transfer. You will also assist in project scope prioritization and adherence to delivery models while refining business and technical requirements.
As a Machine Learning Engineer at ZS, you will build and monitor model pipelines, scale algorithms for large datasets, enhance ML engineering platforms, implement ML Ops, and ensure high-quality deliverables. You will also conduct research on architecture patterns and collaborate with global teams to deliver projects efficiently.
The Machine Learning Engineer will develop large-scale distributed training pipelines, build low-latency inference systems, and optimize model performance using GPU acceleration. Collaborating with researchers, the role involves enhancing ML frameworks and automating experiments while working within high-pressure trading environments.
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As an AI Researcher at DRW, you will develop and test AI models and algorithms, construct data pipelines, evaluate model performance, and collaborate closely with your team. You will also stay informed on the latest AI techniques and contribute to improving research processes, all while receiving mentorship and participating in a robust training program.
As an Application Engineer, you will oversee design and implementation of assigned products, manage risks, analyze and deploy new user stories, guide junior engineers, and enforce IT standards. Collaboration with various stakeholders is crucial for achieving team commitments and ensuring high reliability of solutions.
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.
The Senior Machine Learning Engineer will design and implement machine learning applications, collaborate with cross-functional teams, optimize data pipelines, and ensure high availability of ML systems. Responsibilities include building ML models, automating tests and deployments, and monitoring production models while following best practices in AI.
As a Senior Machine Learning Engineer, you will design data pipelines, develop machine learning models, and collaborate with various teams to integrate ML capabilities into products. You will also train others, conduct experiments to validate outcomes, and serve as a thought leader in data-driven innovations.
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As a Senior Machine Learning Engineer at Wasabi, you will develop and refine computer vision algorithms and NLP models while leading AI advancements in a team-oriented environment. Responsibilities include collaborating across teams, optimizing machine learning models, and ensuring reliable implementation and maintenance of AI systems.
The Samsara ML Experience team is looking for an Applied Scientist to develop ML solutions that enhance the safety, efficiency, and sustainability of physical operations. Responsibilities include driving new ML initiatives, staying connected to industry and academic research, designing and optimizing services, and championing Samsara's cultural principles.
Top Companies in Chicago, IL Hiring Data + Analytics Roles
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