Machine Learning Engineer II (100% Remote)
Location
Menomonee Falls, WI | United States
Job description
Machine Learning Engineer II (100% Remote)
Supports cross-functional teams with designing and implementing ML-based solutions. Contributes to MLE internal tools and best practices.
ACCOUNTABILITIES
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Work with Engineers to integrate Data Science models into customer-facing solutions.
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Support model development through GCP service enablement and configuration.
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Contribute to roadmap for Data Science and MLE team tools and technology development
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Design and implement monitoring and alerting systems to maintain model performance and integrity.
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Work within the ML Engineering team to develop leverageable toolsets to standardize and streamline model implementations.
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Think in terms of iterative development, document, and communicate throughout products' data science lifecycle.
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Work closely with Data Scientists to efficiently scale models to meet production requirements.
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Optimize and fine-tune models to achieve peak performance and accuracy within resource constraints.
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Stay up-to-date on GCP services and best practices for DS/ML implementations.
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Work with Data Scientists to develop efficient, scalable ETL workflows to power ML solutions.
QUALIFICATIONS
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In-depth knowledge of Google Cloud Platform services, particularly Vertex AI, BigQuery, Dataproc.
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Extensive expertise with CI/CD and IaC best practices.
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Extensive expertise with distributed computing and big data technologies like Spark, Kubeflow, Airflow and SQL.
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Extensive expertise in Python and machine learning libraries (e.g., TensorFlow, PyTorch, scikit-learn).
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Experience with Agile/XP software development.
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Experience with OGSM approach - strategy development and execution.
REQUIRED
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BS in Data Science, Computer Science, Machine Learning, Applied Mathematics, or equivalent quantitative field.
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3+ years of progressively complex Data Science or analytics experience.
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3+ years of experience as a Machine Learning Engineer with a proven track record of successful project delivery.
PREFERRED
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Master’s degree and/or Ph.D.
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Proficiency in Java/Scala or other languages.
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Retail experience
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Ecommerce experience
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