Senior MLOps Engineer (Remote)

About the role

The Senior MLOps Engineer will support cross‑functional teams in designing, deploying, and operating machine‑learning solutions, building scalable infrastructure, tools, and best practices across the Machine Learning Engineering ecosystem.

About the company

Kohl's is a large retail and e‑commerce company.

Requirements

• Experience in MLOps or DevOps practices building and operating production ML systems using Docker, Kubernetes, CI/CD pipelines, Git version control, API development, model serving (batch and real‑time), and automated testing frameworks
• Bachelor's degree in Data Science, Computer Science, Statistics, Applied Mathematics or equivalent quantitative field
• Experience working with Data Scientists to deploy, scale, and operationalize machine learning models in production environments
• 3+ years of experience as a Machine Learning Engineer with a proven track record of successful project delivery
• In‑depth knowledge of cloud platforms, preferably Google Cloud Platform services, particularly Vertex AI, BigQuery, and Dataproc
• Extensive expertise with CI/CD and Infrastructure as Code best practices
• Extensive knowledge of distributed computing and big data technologies such as Spark, Kubeflow, Airflow, and SQL
• Extensive expertise in Python and machine learning libraries (TensorFlow, PyTorch, scikit‑learn)
• Experience working in Agile environments with an emphasis on iterative development and continuous delivery
• Preferred: Master's degree
• Preferred: Proficiency in Java or other programming languages
• Preferred: Retail industry experience
• Preferred: E‑commerce experience
• Preferred: 5+ years of experience in Machine Learning
• Preferred: Experience with optimization techniques and tools (e.g., Gurobi, linear programming, mixed‑integer programming)
• Preferred: Experience with agent‑based or agentic AI systems, including orchestration of autonomous workflows or LLM‑driven agents