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Manager, Machine Learning / HANDS-ON
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Kelly Services
Lake Forest, IL (In Person)
$190,000 Salary, Full-Time
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Job Description
at Kelly Services in Lake Forest, Illinois, United States Job Description $180000 - $200000 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