资深DevOps机器学习工程师

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