Menomonee Falls, WI, 53052, USA
12 days ago
Machine Learning Engineer II (Remote)
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
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