Kohl's is looking for a Machine Learning Engineer II to join our team. In this remote role, you will support cross-functional teams in designing and implementing machine learning-based solutions and contribute to our Machine Learning Engineering 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.
- 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.
What We're Looking For
- 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.
Nice to Have
- Master’s Degree and/or Ph.D.
- Proficiency in Java/Scala or other languages.
- Retail experience.
- E-commerce experience.
Technical Stack
- Google Cloud Platform, Vertex AI, BigQuery, Dataproc
- Spark, Kubeflow, Airflow, SQL
- Python, TensorFlow, PyTorch, scikit-learn
Team & Environment
You will be part of the Machine Learning Engineering team, working closely with cross-functional teams and Data Scientists.
Work Mode
This position is fully remote.
