Machine Learning Engineer II (100% Remote)
Job Overview
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Date PostedMarch 31, 2024
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Expiration date--
Job Description
Supports cross-functional teams with designing and implementing ML-based solutions. Contributes to MLE internal tools and best practices.
ACCOUNTABILITIES…
Work with Engineers to integrate Data Science models into customer-facing solutions.
Support model development through GCP service enablement and configuration.
Contribute to 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 ML Engineering team to develop leverageable toolsets to standardize and streamline model implementations.
Think in terms of iterative development, document, and communicate throughout products’ data science lifecycle.
Work closely with Data Scientists to efficiently scale 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 DS/ML implementations.
Work with Data Scientists to develop efficient, scalable ETL workflows to power ML solutions.
QUALIFICATIONS
In-depth knowledge of Google Cloud Platform services, particularly Vertex AI, BigQuery, Dataproc.
Extensive expertise with CI/CD and IaC best practices.
Extensive expertise with 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.
REQUIRED
BS in Data Science, Computer Science, Machine Learning, 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.
PREFERRED
Masters degree and/or Ph.D.
Proficiency in Java/Scala or other languages.
Retail experience
Ecommerce experience
