Machine Learning Engineer II (Remote)

Role Specific Information

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

Essential Functions

The requirements listed below are representative of functions you will be required to perform, however you may be required to perform additional functions. Kohl’s may revise this job description at any time. To perform this job successfully, you must be able to perform each essential function satisfactorily. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions, absent undue hardship.

• Ability to perform the accountabilities listed in the “What You’ll Do” Section

• Ability to comply with dress code requirements

• Basic math and reading skills, legible handwriting, and basic computer operation

• Ability to maintain prompt and regular attendance and meet scheduling requirements as set by the company

• Ability to learn and comply with all company policies, procedures, standards and guidelines

• Ability to receive, understand and proactively respond to direction from leadership and other company personnel

• Ability to work as part of a team and interact effectively and appropriately with others

• Ability to maintain composure and work in a fast paced environment while accomplishing multiple tasks within established timeframes

• Ability to satisfactorily complete company training programs

• Ability to use a personal computer for tasks such as communicating, preparing reports, etc.

• Ability to plan, prioritize and monitor activities across business units

• Ability to complete or oversee the completion of assigned projects in a timely manner