Senior AI/ML Operations Engineer

Senior Engineer - AI/ML Ops Engineer

Role Summary

This role focuses on building and operating reliable, scalable, enterprise-grade AI platforms. You will own deployment, lifecycle management, observability, and governance of AI models that power mission-critical business systems and directly impact P&L

Main Tasks

Key Responsibilities
• Build and manage end-to-end AI/ML pipelines
• Own model registry, versioning, and lifecycle management
• Design scalable model serving architectures
• Implement CI/CD pipelines for AI workloads
• Partner with AI Engineers to productionize models
• Ensure reliability, monitoring, and governance of AI systems

Technical Skills
• Python, Docker
• Kubernetes (EKS / AKS)
• Snowflake, Postgres, Feature Store / Vector DB (FAISS)
• MLflow (Model Registry & Lifecycle)
• Model Serving: FastAPI, Triton, TorchServe
• Cloud: AWS / Azure
• CI/CD: Bitbucket, GitHub Actions, GitLab CI
• Pipelines: ArgoFlow
• Monitoring: DataDog, Prometheus, Grafana

Experience

4–7 years of experience as an AI/ML Ops Engineer with strong ownership of production AI systems at scale.

Experience Level

Senior Level