Top Machine Learning Jobs in Chicago, IL
Parliament Collective Intelligence is seeking a Data Science & Visualization Associate to transform complex data into visually appealing insights for decision-making in the social sector. Responsibilities include data analysis, visualization, and collaboration with team members and clients.
As a Senior Machine Learning Engineer at Capital One, you will design, build, and deliver machine learning models to solve real-world business problems. You will work with cross-functional teams to implement ML applications using a variety of technology platforms. Responsibilities include model development, infrastructure decisions, data pipelines construction, and continuous integration and deployment. Preferred qualifications include experience in building, scaling, and optimizing ML systems and data preparation for ML models.
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.
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Senior Manager overseeing ML projects, strategic planning, and cross-functional collaboration within the AI Services team at ServiceNow. Responsible for managing software development lifecycle of AI Platform components.
Looking for a Principal Machine Learning Engineer to shape the ML agenda for Dropbox's new initiatives, developing high-impact ML solutions that touch millions of users and vast amounts of data across various ML techniques.
Seeking a Senior Machine Learning Engineer to apply machine learning to solve various problems, build infrastructure, and shape team development. Responsibilities include delivering AI-powered products, conducting data analysis, building ML models, and challenging conventional thinking. Must have 6+ years of experience in data science/machine learning, experience with AWS services, and proficiency in writing SQL queries.
Seeking a seasoned Senior/Staff Applied ML Scientist to develop cutting-edge recommendation solutions using advanced machine learning models and technologies such as GNNs, LLMs, and Embeddings.
Seeking Machine Learning Scientists with proficiency in Python and/or R, SQL, and experience in developing and implementing ML solutions. Responsibilities include building data analysis pipelines, training and validating machine learning models, and collaborating on research.
Develop advanced algorithms, execute statistical and data mining techniques, evaluate emerging datasets and technologies, contribute to thought leadership, strong attention to detail and problem-solving skills.
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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.
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