remote
AI/MLOps Engineer - VDart Inc
MLOps Engineer
Design, build, and operationalize machine learning models on Azure, creating scalable pipelines and automated deployment workflows using Python, Docker, Kubernetes, and CI/CD tools.
About the role
Key Responsibilities
- Design and implement end‑to‑end MLOps pipelines to productionize data‑science models on Azure.
- Containerize models and services with Docker and orchestrate them using Kubernetes for high availability.
- Develop CI/CD workflows (GitHub Actions, Azure DevOps) to automate testing, validation, and deployment of ML artifacts.
- Collaborate with data scientists and data engineers to translate experimental notebooks into production‑ready code.
- Implement infrastructure‑as‑code (Terraform) to provision and manage Azure resources securely and reproducibly.
Requirements
- Strong proficiency in Python for data processing, model training, and API development.
- Hands‑on experience with Azure services (ML Studio, AKS, Blob Storage, Azure DevOps).
- Solid understanding of MLOps concepts, containerization, and orchestration tools such as Docker and Kubernetes.
- Experience building automated CI/CD pipelines and using IaC tools like Terraform or ARM templates.
- Ability to work remotely, communicate effectively with cross‑functional teams, and troubleshoot production issues quickly.
Skills
pythonazuremlopsdockerkubernetescicdterraform