Staff MLOps Engineer (AI/ML Platform)
Core
Own the AI/ML platform to support the Synthetic Data Platform, Trust Score, and future initiatives by building training infrastructure, model serving, and observability.
Role type
Staff MLOps Engineer (AI/ML Platform)
Builds
Shared AI/ML platform including training infrastructure, experiment tracking, model registry, serving layer, and monitoring systems.
Domain
Research technology / Survey data / AI/ML infrastructure
Deliverable
production ML models | infrastructure
Required skills
ML platform architecture, Databricks/Spark, Kubernetes, Terraform, Python, Scala, Java, AWS, model observability, cost optimization, technical leadership, RFC writing, AI tooling adoption.
Preferred skills
Unity Catalog, GCP, agentic workflows, Claude Code.
Technologies
Databricks, Spark, Unity Catalog, Kubernetes, AWS (EKS), Terraform, Grafana, Prometheus, Java/Spring, Python, Scala.
Responsibilities
Audit and decide on extending or rebuilding the existing AI/ML pipeline; build training infrastructure and model serving layers; implement monitoring for data and model drift; mentor engineers on best practices; drive AI tooling adoption; justify platform investment to stakeholders.
Seniority
Staff, hands-on IC with strategic scope