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Senior MLOps Engineer - Svitla Systems
MLOps Engineer
Senior MLOps Engineer driving end‑to‑end ML lifecycle on Azure, building scalable pipelines, containerizing models, and automating deployments with CI/CD. Expertise in Python, Docker, Kubernetes, and Azure ML services is essential.
About the role
Key Responsibilities
- Design, implement, and maintain production‑grade ML pipelines on Azure, ensuring scalability and reliability.
- Containerize models using Docker and orchestrate with Kubernetes for efficient deployment across hybrid environments.
- Automate model training, testing, and deployment workflows with CI/CD pipelines, integrating Azure DevOps or GitHub Actions.
- Collaborate with data scientists and software engineers to translate research prototypes into production‑ready services.
- Monitor model performance, troubleshoot issues, and implement continuous improvement strategies.
Requirements
- 5+ years of experience in MLOps or related roles, with deep knowledge of Azure ML, Azure Kubernetes Service, and Azure DevOps.
- Proficiency in Python, Docker, Kubernetes, and CI/CD tooling.
- Strong understanding of cloud architecture, IaC (Terraform/ARM), and security best practices.
- Excellent problem‑solving skills and ability to work in a fast‑moving, cross‑functional team.
Skills
azuremlopspythondockerkubernetescicd