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Machine Learning Engineer II (Remote)

5 days ago Menomonee Falls, WI

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 (PCP) 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

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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

Client-provided location(s): Menomonee Falls, WI
Job ID: kohls-KLHKUSR442626
Employment Type: FULL_TIME
Posted: 2025-11-07T20:04:15

Perks and Benefits

  • Health and Wellness

    • Health Insurance
    • Dental Insurance
    • Vision Insurance
    • Life Insurance
    • Long-Term Disability
    • HSA
    • On-Site Gym
    • Pet Insurance
    • Short-Term Disability
    • FSA
    • HSA With Employer Contribution
    • Mental Health Benefits
  • Parental Benefits

    • Adoption Assistance Program
    • Family Support Resources
    • On-site/Nearby Childcare
    • Fertility Benefits
    • Birth Parent or Maternity Leave
    • Non-Birth Parent or Paternity Leave
    • Adoption Leave
  • Work Flexibility

    • Flexible Work Hours
    • Remote Work Opportunities
    • Hybrid Work Opportunities
  • Office Life and Perks

    • Casual Dress
    • On-Site Cafeteria
    • Company Outings
    • Commuter Benefits Program
  • Vacation and Time Off

    • Paid Vacation
    • Paid Holidays
    • Personal/Sick Days
    • Leave of Absence
  • Financial and Retirement

    • 401(K) With Company Matching
    • Relocation Assistance
    • Financial Counseling
  • Professional Development

    • Leadership Training Program
    • Associate or Rotational Training Program
    • Tuition Reimbursement
    • Mentor Program
    • Access to Online Courses
    • Lunch and Learns
    • Promote From Within
    • Shadowing Opportunities
    • Internship Program
  • Diversity and Inclusion

    • Employee Resource Groups (ERG)
    • Diversity, Equity, and Inclusion Program

Company Videos

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