Senior MLOps Engineer
Core
Build, scale, and evolve platforms taking ML models from experimentation to reliable production systems, with exposure to GenAI and agentic AI.
Role type
Senior MLOps Engineer (GenAI/AgentOps)
Builds
Production ML pipelines, CI/CD workflows, scalable inference infrastructure, and MLOps/AgentOps capabilities
Domain
Insurance / Machine Learning Operations / Generative AI
Deliverable
production ML models
Required skills
Python, AWS, Docker, Kubernetes, Terraform, CI/CD, ML lifecycle management, observability, mentoring
Preferred skills
Databricks, MLflow, GenAI/AgentOps production support, AI observability and guardrails
Technologies
AWS, Docker, Kubernetes, Terraform, Databricks, MLflow, GitHub Actions, CloudWatch
Responsibilities
Design and scale production ML pipelines and platforms; Build and improve CI/CD workflows for ML models; Develop and operate scalable infrastructure for real-time and batch inference; Implement monitoring and observability for ML systems; Expand MLOps capabilities into GenAI and AgentOps; Mentor engineers and establish engineering standards
Seniority
Senior, hands-on IC with mentorship
