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Machine Learning Engineer II (Remote)

KOHLS
Full Timejunior
Menomonee Falls, Wisconsin, USPosted March 14, 2026

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PythonJavaScalaSQLGCPBigQuerySparkAirflowTensorFlowPyTorchscikit-learnAgileCI/CD

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Job Description

About the Role

In this role you will support cross-functional teams in designing and implementing machine learning-based solutions and contribute to Machine Learning Engineering (MLE) internal tools and best practices.

What You’ll Do

  • Work with Engineers to integrate Data Science models into customer-facing solutions
  • Support model development through Google Cloud Platform (GCP) service enablement and configuration
  • Contribute to the roadmap for Data Science and MLE team tools and technology development
  • Design and implement monitoring and alerting systems to maintain model performance and integrity
  • Work within the Machine Learning Engineering team to develop leverageable toolsets to standardize and streamline model implementations
  • Mentor and guide junior machine learning engineers, providing technical expertise and fostering a culture of continuous learning and development
  • Think in terms of iterative development, document, and communicate throughout the products' data science lifecycle
  • Work closely with Data Scientists to efficiently scale Extract Transform Load (ETL) workflows and models to meet production requirements
  • Optimize and fine-tune models to achieve peak performance and accuracy within resource constraints
  • Stay up-to-date on GCP services and best practices for Data Science and Machine Learning implementations
  • Additional tasks may be assigned

What Skills You Have

Required

  • Bachelor’s degree in Data Science, Computer Science, Statistics, Applied Mathematics or equivalent quantitative field
  • 3+ years of progressively complex Data Science or analytics experience
  • 3+ years of experience as a Machine Learning Engineer with a proven track record of successful project delivery
  • In-depth knowledge of Google Cloud Platform services, particularly Vertex AI, BigQuery and Dataproc
  • Extensive expertise with CI/CD and IaC best practices
  • Extensive knowledge of distributed computing and big data technologies like Spark, Kubeflow, Airflow and SQL
  • Extensive expertise in Python and machine learning libraries (e.g., TensorFlow, PyTorch, scikit-learn)
  • Experience with Agile/XP software development
  • Experience with OGSM approach; strategy development, and execution

Preferred

  • Master’s Degree and/or Ph.D.
  • Proficiency in Java/Scala or other languages
  • Retail experience
  • E-commerce experience

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