• Machine Learning Engineer II (Remote)

    Kohl's (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

    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