MLOps Engineer
Core
Building and operating compliant, scalable end-to-end machine learning workflows from development to production for enterprise AI projects.
Role type
MLOps Engineer
Builds
Production ML pipelines, orchestration solutions, and AI applications
Domain
Enterprise AI / Machine Learning Operations
Deliverable
production ML models
Required skills
Kubernetes/OpenShift, ML orchestration, ML tracking and monitoring, Python, CI/CD and GitOps, security and vulnerability management
Preferred skills
Experience with Kubeflow Pipelines, MLflow, TensorBoard
Technologies
Kubeflow Pipelines, MLflow, TensorBoard, Kubernetes, OpenShift, Python
Responsibilities
Implementing ML orchestration solutions, integrating ML tracking and experiment tools, automating training and deployment processes, ensuring security for code and models, coordinating with platform and project teams
Seniority
Experienced, hands-on IC