Manager, Machine Learning / HANDS-ON

A data-driven enterprise in Chicago is seeking a Machine Learning leader to drive advanced analytics and AI initiatives across the organization. This full-time role focuses on building and deploying scalable ML solutions using modern Python-based frameworks, cloud-native tooling, and production-grade MLOps practices. You'll work with high-volume, high-dimensional data in a collaborative, business-facing environment. This is not a research-only position - it's an opportunity to own real business problems from idea to production. The team is looking for someone who enjoys balancing hands-on technical work with mentoring a small group of scientists and partnering directly with stakeholders. You'll gain exposure to a wide variety of problem domains, modern ML architectures, and enterprise-scale systems while maintaining a healthy balance between innovation and execution. Required Skills & Experience Advanced degree in a technical or quantitative field 5+ years of hands-on experience delivering ML solutions in production environments Strong Python and SQL skills with experience in data manipulation and feature engineering Experience with ML frameworks such as PyTorch, TensorFlow, or scikit-learn Proven background in MLOps, model deployment, monitoring, and CI/CD pipelines Experience leading or mentoring a small team of data scientists or ML engineers Desired Skills & Experience Hands-on experience with NLP, LLMs, deep learning, or time series forecasting Familiarity with MLflow or similar experiment tracking tools Experience with Docker, Kubernetes, and Git-based workflows Exposure to optimization techniques, simulation, or Bayesian methods Experience building interactive analytical tools (Streamlit, React, dashboards) Familiarity with enterprise data platforms (Snowflake, S3, Teradata) What You Will Be Doing Tech Breakdown 40% Python-based ML development and modeling 25% MLOps, deployment, and automation 20% Data engineering and feature development 15% Interactive tools, optimization, and experimentation Daily Responsibilities 60% Hands-on technical contribution 20% Team leadership and mentoring 20% Cross-functional collaboration and stakeholder engagement The Offer Bonus eligible You Will Receive the

Following Benefits:

Medical, Dental, and Vision Insurance Generous Vacation Time Long-term incentive or equity participation Applicants must be currently authorized to work in the United States on a full-time basis now and in the future. #LI-DK1