DevOps Engineer with ML Platform Exposure (Azure Databricks)

At Madiff, we connect top IT talent with cutting-edge companies through remote Agile teams and nearshore outsourcing. With operations in Poland, Portugal, France, and the UK, we specialize in AI, DevOps, and Cybersecurity - supporting industries like Telecom, Banking, and Hi-Tech.

Are you an experienced MLOps / DevOps Engineer who thrives in production environments and wants to make an immediate impact?

For one of our clients from the insurance industry, we are looking for a consultant who will ensure that AI and ML platforms run reliably, securely, and at scale in a highly regulated environment.

Key responsibilities

• Support and maintain DevOps infrastructure on Azure for AI and ML workloads

• Contribute to ML pipelines deployment and monitoring under guidance of senior MLOps engineers

• Work with Azure Databricks, including MLflow and Unity Catalog, at an operational level

• Implement and maintain CI/CD pipelines for data and ML workloads

• Support automation of ModelOps workflows

• Apply Infrastructure as Code (Terraform) to manage cloud resources

• Collaborate with AI engineers and data teams to ensure smooth operation of production ML systems

• Help maintain stability, security, and compliance of the platform

What we are looking for

• Solid experience as a DevOps Engineer in cloud environments

• Practical exposure to Azure and cloud-native services

• Hands-on experience with CI/CD pipelines and automation

• Familiarity with Azure Databricks or strong motivation to work with ML platforms

• Experience with Infrastructure as Code (Terraform)

• Understanding of basic data and ML lifecycle concepts

• Good English for daily collaboration with international teams

What we offer

• Fully remote cooperation

• Long-term project in a stable, regulated insurance environment

• Opportunity to work on an enterprise-grade AI/ML platform with real production impact

• Medical package