AI/MLOps SRE Lead Engineer
Core
Lead the design and operation of resilient multi-cloud platforms supporting machine learning workloads, LLMs, AI Agents, and enterprise-scale automation.
Role type
Senior IC MLOps SRE Lead Engineer
Builds
Enterprise ML platform infrastructure, AI-driven observability solutions, and ChatOps integrations for Data Science and AI Engineering teams.
Domain
Biopharmaceuticals / Cloud-native AI & ML
Deliverable
production ML models
Required skills
Multi-cloud platform operations, ML platform technologies (Databricks, SageMaker, Vertex AI), Infrastructure as Code, CI/CD automation, Python/Go scripting, observability stack, anomaly detection, ChatOps architecture, Kubernetes, MLOps frameworks.
Preferred skills
Kubernetes orchestration, MLOps tools (Kubeflow, MLflow), cloud cost optimization, policy-as-code, AI-native operational technologies.
Responsibilities
Establish SLOs/SLIs and reliability standards, design and scale ML infrastructure, develop AI-driven observability and automated remediation, lead LLM/Agent platform implementation, architect ChatOps solutions, mentor engineering teams, assess technical debt, evaluate emerging AI technologies.
Seniority
Senior, hands-on IC with leadership responsibilities