Found Description
The AI/ML Engineer is responsible for designing, deploying, and scaling production machine learning models for business-critical use cases. This role owns the end-to-end ML lifecycle—from feature engineering and model training to deployment and monitoring—while applying MLOps and responsible AI practices. The engineer collaborates with cross‑functional teams to deliver scalable, reliable, and production‑ready AI solutions.
Responsibilities
- Own end-to-end ML model development from design and training to deployment and monitoring
- Design and manage feature pipelines using Snowpark Feature Store with proper versioning and governance
- Build and optimize training workflows and production inference services (APIs, REST/gRPC, FastAPI)
- Design scalable inference systems with latency, throughput, and cost optimization
- Productionize ML models in Snowflake and AWS environments
- Collaborate with data scientists, engineers, and sta...