Top Hybrid Machine Learning Jobs in Chicago, IL
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.
Develop and maintain the vision, roadmap, and strategy for the research and development product within the Decisioning Platform at Discover. Collaborate with stakeholders to align product features with business goals and lead the design and implementation of new product strategies. Define KPIs and OKRs, create prototypes based on customer feedback, and oversee product lifecycle activities.
Seeking a skilled Data Scientist with 1-5 years of experience in data science, analytics engineering, machine learning engineering. Responsibilities include developing predictive models, working on data products using Python and SQL, and staying updated on industry trends in data science and fintech.
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Manager of Machine Learning responsible for leading a team of data scientists and ML engineers to create new data products from financial transactions at Apex Fintech Solutions. Key duties include overseeing model development, collaborating with stakeholders, and keeping up with advancements in ML and AI. Requires 5+ years of building ML solutions, 3+ years of managing people in tech companies, and experience with cloud technologies like GCP, AWS, and Azure.
This role directs the development, implementation, testing and maintenance of models used for margin, clearing fund and stress testing.
Build product features powered by machine learning on top of unique, proprietary datasets. Focus on NLP and large language models. Collaborate with product managers and engineers to prototype, build, and release features. Write production python code and deploy microservices.
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.
Design and build batch and real-time inference services and tooling, facilitate modelers, develop prototypes, and influence team culture in a global financial crimes technology team using Machine Learning and Generative AI at Cash App.
Senior AI/ML Engineer responsible for building AI & ML platforms and solutions for financial services and insurance. Develops data into usable information to create automated analytics solutions. Requires expertise in rapidly deploying AI & ML solutions in a DevOps environment, coding fluency in Python, R, or Java, experience with Kubeflow, Airflow, Docker, and Spark, and proficiency in data preprocessing, cleaning, and data visualization.
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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