Design, implement, and maintain ML-driven services and data workflows in Python
Deploy and operate ML services on GCP (Cloud Run, GKE, Cloud Functions, Pub/Sub, BigQuery, Cloud
Build evaluation pipelines and metrics for model/system performance
Collaborate with product, operations, engineering, and data teams
Communicate trade-offs, risks, and timelines to technical and non-technical audiences

🎯 Requirements

Software Engineer or ML Engineer experience
Strong Python and production-service skills
Hands-on GCP deployment experience
Expertise in SQL queries
Solid software engineering fundamentals: testing, debugging, Git, CI/CD, monitoring
Experience evaluating ML systems with metrics and experiments

🎁 Benefits

Competitive benefits and health coverage information provided in post
Inclusive, equal-opportunity environment
Reasonable accommodations available during application

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