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SENIOR MLOPS ENGINEER WITH ML/AI AZURE - Svitla Systems
MLOps Engineer
Senior MLOps Engineer focused on Azure-based ML/AI solutions, driving end-to-end model deployment, automation, and scaling across SaaS environments using Docker, Kubernetes, and CI/CD pipelines.
About the role
Key Responsibilities
- Design, build, and maintain scalable MLOps pipelines on Azure, integrating data ingestion, model training, and deployment workflows.
- Implement CI/CD pipelines for ML models using Azure DevOps, GitHub Actions, or equivalent, ensuring rapid, reliable releases.
- Containerize models with Docker, orchestrate with Kubernetes, and manage serverless deployments where appropriate.
- Collaborate with data scientists, software engineers, and product teams to translate ML research into production-ready services.
- Monitor model performance, set up automated alerts, and perform root‑cause analysis for drift or degradation.
Requirements
- 5+ years of experience in MLOps or DevOps with a strong focus on Azure cloud services.
Skills
azuremlopsmachine learningpythondockerkubernetescicd