Senior DevOps ML Engineer
Madiff
full-time
Posted on:
Location Type: Remote
Location: Remote • 🇵🇱 Poland
Visit company websiteJob Level
Senior
Tech Stack
AzureCloudDockerKubernetesPythonTerraformUnity
About the role
- 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
- Nice to have 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
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
MLOpsDevOpsML pipelinesCI/CDModelOpsInfrastructure as CodeTerraformPythonDockerKubernetes
Soft skills
collaborationcommunicationproblem-solvingadaptabilityinterpersonal skills