Top Hybrid Machine Learning Jobs in Chicago, IL
The specialist will design and implement technical features, write production-ready code, ensure quality through best practices, support technical requirement gathering, validate designs, and collaborate with data scientists to manage the ML lifecycle and develop AI models.
The Senior Applied Machine Learning Scientist will design, develop, and maintain scalable machine learning models for product matching, utilizing technologies like NLP and computer vision. Collaboration with ML scientists and engineers is key, along with staying updated on ML advancements and effectively communicating solutions.
The AI team at Chamberlain is looking for an enthusiastic Machine Learning and Computer Vision co-op to lead the design, development, and testing of advanced AI solutions supporting CGI's strategic business priorities. The co-op will have the opportunity to initiate, manage, and deliver a project to further the AI, ML, and/or computer vision strategies at Chamberlain. Hands-on experience in a real-world business environment working closely with senior data scientists, engineers, architects, and business partners.
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As a Senior Consultant at Analytics8, you will work with a variety of companies, managing and implementing BI and DWH projects. You will be responsible for managing small projects, gathering customer requirements, mentoring junior consultants, and contributing to upsell opportunities. The role requires advanced knowledge of BI/DW development methodologies, SQL, and experience with data engineering and analytics tools. Strong communication and project management skills are essential.
As a Data Scientist for Machine Learning Operations, you will develop, enhance, and deploy software critical to the business. You will build tools to streamline the modeling lifecycle, conduct ad hoc analysis, and communicate effectively with cross-functional teams.
As an AI Researcher at DRW, you will collaborate with a team to solve challenging AI and machine learning problems, work on algorithm development, data engineering, model testing & evaluation, and stay updated on the latest AI techniques. This role offers learning opportunities in cutting-edge ML/AI techniques and model deployment, contributing to research projects with potential impact on financial decision-making, and fostering a collaborative research culture.
Lead customers through transformational change by driving data and analytics strategies, work collaboratively with customer leaders to understand business challenges, contribute to the direction of Data and Analytics Consulting practice, plan and deliver data and analytics initiatives, grow as a leader with mentorship, and contribute to firm's growth as an employee-owner.
Top hybrid Companies in Chicago, IL Hiring Data + Analytics Roles
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