MLOps (Azure cloud)

DevOps

MLOps (Azure cloud)

DevOps
Prosta 20, Warszawa

Madiff Sp. z o.o.

Full-time
B2B
Mid
Remote
30.83 - 35.04 USD
Net per hour - B2B

Job description

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 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

Tech stack

    Azure

    regular

    Terraform

    regular

    Databricks

    regular

Office location