Senior DevOps ML Engineer

This is a remote position.
We are looking for a Senior DevOps ML Engineer​ to support a long-term enterprise AI platform focused on production-grade ML workloads. This role is fully centred on MLOps and DevOps infrastructure — ensuring that existing AI and ML models run reliably, securely, and at scale in production. The position operates in a regulated environment and requires strong focus on automation, governance, and operational excellence.
Responsibilities
- Design, build, and maintainMLOpsand DevOps infrastructure on Azure

- Develop andoptimiseML pipelines for deployment, monitoring, and governance

- Work with Azure Databricks,MLflow, and Unity Catalog

- Implement CI/CD pipelines and automatedModelOpsworkflows

- Ensure data architecture supports governance, lineage, and schema evolution

- Apply Infrastructure as Code using Terraform

- Collaborate closely with AI engineers and data teams to support production ML systems

- Monitor and ensure platform stability, performance, security, and compliance

- Support operational readiness of ML workloads in regulated environments

Requirements

- Stronghands-onexperiencewithAzureDatabricks,includingMLflowand UnityCatalog

- Proven background in DevOps orMLOpsfor AI / ML platforms

- Solid experience with Azure Cloud services

- Hands-on CI/CD and pipeline automation experience

- Infrastructure as Codeexpertiseusing Terraform

- Strong understanding of data governance, access control, and compliance principles

- Confident English for daily cooperation with international stakeholders

Nice to have

- Pythondevelopmentorscriptingexperience

- Docker and Kubernetes knowledge

- Exposure to Generative AI or broader ML workflows

- Experience working in insurance or other regulated environments

Benefits

- Solid, competitive salary

- Work in multinational environment on international projects

- Comprehensive healthcare

- Long-term B2B contract with stable project pipeline

- Fully remote model

Originally posted on Himalayas