Senior DevOps ML Engineer

This is a remote position.

• Design, build, and maintain MLOps and DevOps infrastructure on Azure 
  
• Develop and optimise ML pipelines for deployment, monitoring, and governance 
  
• Work with Azure Databricks, MLflow, and Unity Catalog 
  
• Implement CI/CD pipelines and automated ModelOps workflows 
  
• 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

• Strong hands-on experience with Azure Databricks, including MLflow and Unity Catalog 
  
• Proven background in DevOps or MLOps for AI / ML platforms 
  
• Solid experience with Azure Cloud services 
  
• Hands-on CI/CD and pipeline automation experience 
  
• Infrastructure as Code expertise using Terraform 
  
• Strong understanding of data governance, access control, and compliance principles 
  
• Confident English for daily cooperation with international stakeholders 
  

• Python development or scripting experience 
  
• 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