Machine Learning Engineer II

November 7

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Kohl's

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Beauty • Healthcare Insurance • Wellness

Kohl's is a skincare solution brand that emphasizes science in its product development. It focuses on creating effective skincare products that are formulated with proven ingredients and cutting-edge technology, like QuSome®, to enhance and rejuvenate the skin. Committed to addressing a variety of skin issues, Kohl's offers targeted treatments designed to achieve healthy and beautiful skin while ensuring high standards of effectiveness with no unnecessary extras.

10,000+ employees

Founded 1962

💄 Beauty

⚕️ Healthcare Insurance

🧘 Wellness

📋 Description

• Support cross-functional teams in designing and implementing machine learning-based solutions • Contribute to Machine Learning Engineering (MLE) internal tools and best practices • 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 • Mentor and guide junior machine learning engineers, providing technical expertise • 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

🎯 Requirements

• 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

🏖️ Benefits

• Health insurance • Flexible work arrangements • Professional development