Senior ML Engineer

• 6+ years of professional software engineering experience building production backend services.
• Strong proficiency in Python, with a track record of writing performant, well-tested production code.
• Hands-on experience operating containerized services on Kubernetes in at least one major cloud (AWS, GCP, or Azure).
• Experience with data warehousing or analytics technologies such as Snowflake, Iceberg, Trino, or Postgres.
• Experience designing, deploying, and operating ML models in production, including familiarity with MLOps tooling such as MLflow.
• Demonstrated ability to work autonomously, take ownership of meaningful systems, and deliver against ambiguous requirements.
• Track record of being on-call for production services and contributing to operational excellence.
• Bachelor’s degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.

• Experience with gradient-boosted tree models, neural networks, and optimization solvers in production.
• Familiarity with data orchestration tools (e.g., Prefect, Airflow, dbt) and modern data lake architectures.
• Experience working closely with data scientists to operationalize research code.
• Multi-cloud experience across AWS, GCP, and Azure.
• Background in forecasting, demand planning, or retail/supply chain domains.

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DEIB improves our workforce, enhances trust with our partners and customers, and drives business success.

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