Machine Learning Manager​/eCommerce​/Hybrid​/Chicago LOCAL

Our client in the industrial distribution space is hiring for a full‑time Machine Learning Manager in the Chicago area. This organization is a large, well‑established global distributor that quietly powers millions of businesses every day through technology, logistics, and data.
This role is hybrid in downtown Chicago a few times a month
.

Our client is looking for a leader who combines genuine technical depth with the vision to build and scale a world‑class ML team. You’ll own the end‑to‑end relationship with business partners translating complex challenges into production‑ready ML solutions across classification, NLP, deep learning, time‑series forecasting, and optimization while also shaping the culture, roadmap, and infrastructure your team works within. This is not a role for someone who just manages;

you’ll still be hands‑on with model design, MLOps practices, and emerging AI research. If you’re energized by driving real business impact through applied ML at significant scale, this is a career‑defining opportunity for you.

• BS, MS or PhD in Mathematics, Data Science, Applied Analytics, Operations Research, Computer Science, or Engineering
• 5+ years of hands‑on experience delivering production‑grade machine learning solutions at scale
• Previous experience leading, mentoring, and developing a high‑performing ML/AI team
• Advanced proficiency in Python and SQL; hands‑on experience with ML frameworks such as scikit‑learn, PyTorch, and Tensor Flow
• Solid understanding of MLOps practices including MLflow, model registry, drift monitoring, and hyperparameter optimization
• Proven ability to apply deep learning and transformer‑based modeling methods in production; familiarity with LLMs, diffusion models, or generative AI
• Excellent communication skills — able to convey technical concepts clearly to both technical and business audiences, including executives

• Familiarity with containerization, CI/CD, and version control (Kubernetes, Docker, Git)
• Experience building interactive, model‑driven applications using React, Streamlit, or similar frameworks
• Experience with databases at scale including Teradata, Snowflake, and S3
• Background in optimization, simulation, or decision‑science techniques to complement predictive modeling
• Proven ability to lead cross‑functional collaborations and influence both technical and business stakeholders

• Tech Breakdown
  • 50% Python and SQL
  • 50% Machine learning frameworks
• Daily Responsibilities
  • 50% Hands‑On
  • 50% Management Duties

• Bonus eligible

You will receive the following benefits:

• Medical, Dental, and Vision Insurance
• Vacation Time
• Stock Options

Applicants must be currently authorized to work in the US on a full‑time basis now and in the future.