onsite
MLOps Engineer - Morson Edge
MLOps Engineer
MLOps Engineer responsible for building and maintaining scalable AI infrastructure, deploying machine‑learning models, and automating pipelines using Python, FastAPI/Flask/Django, Docker, and Azure.
About the role
Key Responsibilities
- Design, implement, and manage cloud infrastructure on Azure to support AI‑driven products.
- Develop and maintain CI/CD pipelines for automated testing, building, and deployment of ML models.
- Containerize applications and services using Docker and orchestrate deployments.
- Deploy, monitor, and troubleshoot machine‑learning models in production environments.
- Collaborate with data scientists and software engineers to ensure reliable, scalable, and performant AI services.
Requirements
- Strong programming skills in Python with experience in web frameworks such as FastAPI, Flask, or Django.
- Hands‑on experience deploying and monitoring ML models in production.
- Proficiency with Docker containerization and Azure cloud services.
- Experience building and maintaining CI/CD pipelines.
- Solid understanding of DevOps best practices and infrastructure automation.
Skills
pythonfastapiflaskdjangodockerazurecicd