onsite
ML/ML Ops Principal Engineer - HD Supply
Systems Engineer
Lead the design and deployment of advanced ML models and end‑to‑end MLOps pipelines in a B2B supply‑chain environment, leveraging cloud platforms, data warehouses, and generative AI to deliver scalable, monitored solutions.
About the role
Key Responsibilities
- Architect and implement end‑to‑end ML pipelines for classification, regression, time‑series forecasting, and generative AI models.
- Deploy and maintain models on public cloud platforms (GCP preferred, AWS/Azure acceptable) using Kubernetes, Docker, and managed services.
- Build and maintain model monitoring, tracking, and versioning systems to ensure reliability and compliance.
- Collaborate with data engineering teams to ingest, transform, and store data in Snowflake or BigQuery, writing efficient SQL queries.
- Integrate message queues, load balancers, and other cloud services to support high‑throughput, low‑latency inference.
Requirements
- Extensive experience building and deploying production‑grade ML models.
- Proficiency with GCP, AWS, or Azure, and container orchestration (Kubernetes).
- Strong SQL skills and familiarity with Snowflake or BigQuery.
- Hands‑on experience with generative AI frameworks and tools.
- Excellent problem‑solving skills and ability to lead cross‑functional teams.
Skills
machine learninggcpawssnowflakesqlgenerative ai