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 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.
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