About the role
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