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Senior DevOps ML Engineer

Madiff

Role overview

Qualifications

  • 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

Responsibilities

  • Design, build, and maintain MLOps and DevOps infrastructure on Azure
  • Develop and optimise ML pipelines for deployment, monitoring, and governance
  • Implement CI/CD pipelines and automated ModelOps workflows
  • Ensure data architecture supports governance, lineage, and schema evolution

About the company

Madiff logo

Madiff

We are an international Innovation, IT and high-tech engineering consulting company that delivers unique value in a wide variety of industries. Our mission is to add value to our customers businesses by providing digital and technological innovation services, delivering disruptive results and making our clients stand out in their market. We are driven by a creative and innovative consulting approach strongly oriented to getting results. We MAKE THE DIFFERENCE. Poland | UK | Switzerland | USA | Norway | Portugal | Spain | France | Singapore Warsaw Prosta 20 Wrocław Rybacka 7 Lublin Grottgera 2

Company details

Company size51 - 200

Links

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Job description

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 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 

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MR

Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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