Machine Learning Engineer II (Remote) at KOHLS

Menomonee Falls, Wisconsin, United States -

Full Time

Start Date

Immediate

Expiry Date

06 Jun, 26

Salary

0.0

Posted On

08 Mar, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Google Cloud Platform, Vertex Ai, Bigquery, Dataproc, Ci/Cd, IaC, Spark, Kubeflow, Airflow, Sql, Python, Tensorflow, Pytorch, Scikit-learn, Agile/Xp, Etl

Industry

Retail

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

Responsibilities

This role involves supporting cross-functional teams by designing and implementing machine learning solutions and contributing to internal Machine Learning Engineering tools and best practices. Key duties include integrating Data Science models into customer-facing solutions and developing monitoring systems to ensure model performance and integrity.