Senior ML Ops Engineer
Core
Own the end-to-end ML platform infrastructure, pipelines, and cloud foundation to serve document-understanding, forecasting, and agentic systems at scale.
Role type
Senior ML Ops Engineer (Platform Owner)
Builds
Production ML pipelines, serving infrastructure, and cloud foundation for hundreds of thousands of documents and heavy LLM/VLM workloads.
Domain
AI Infrastructure / Cloud Engineering / CPG
Deliverable
production ML models
Required skills
End-to-end ML pipeline ownership, Cloud infrastructure design, Infrastructure as Code, CI/CD for ML, Inference optimization, Data interface management, Observability and security for ML
Preferred skills
LLMOps tooling, Inference optimization (vLLM, ONNX, TensorRT), ML orchestration (MLflow, Ray, Airflow), Large-scale data systems (Snowflake, Kafka), Managed ML services
Technologies
Python, Ruby, AWS, Terraform, Kubernetes, GitHub Actions, Snowflake, Aurora, Redis, Kafka
Responsibilities
Own ML pipelines from experimentation to production; Provide reproducible environments and fast paths from prototype to production; Stand up cloud foundation as IaC and CI/CD; Serve and optimize inference and forecasting workloads; Own data interface with data engineering; Ensure reliability, observability, security, and privacy with online evals
Seniority
Senior, hands-on IC
