DevOps Engineer - AI & Machine Learning Platform

Responsibilities:

• Support the build, deployment, and maintenance of Machine Learning applications used within financial crime prevention initiatives

• Develop and maintain CI/CD pipelines enabling efficient and reliable deployment of AI/ML solutions

• Work closely with data scientists, engineers, and platform teams to operationalize Machine Learning models

• Manage containerized environments and infrastructure supporting ML workloads

• Ensure stability, scalability, and performance of Big Data and AI platforms

• Contribute to improving development workflows, automation, and platform reliability

• Collaborate in an agile environment and actively contribute to technical discussions and platform improvements

Requirements:

• Minimum 4 years of professional experience in DevOps, platform engineering, or a similar role supporting data or machine learning platforms

• Strong hands-on experience with Python (minimum 2 years) combined with development in Big Data and AWS environments

• Practical experience working with Git-based version control systems and development platforms such as GitHub or Bitbucket

• Experience with CI/CD pipelines, particularly using Jenkins

• Strong working knowledge of Linux environments and Bash scripting

• Hands-on experience with containerization using Docker

• Experience working with Machine Learning and Big Data tools, including MLflow, PySpark, and Hadoop

• Practical experience working with relational databases, such as MS SQL or Oracle

• Familiarity with artifact repositories, such as Artifactory or Nexus

• Practical experience using Jira and Confluence in an Agile development environment

• Good command of English (both written and spoken), enabling effective collaboration in an international environment

Nice to have:

• Experience with container orchestration platforms, particularly Kubernetes

• Familiarity with Kubeflow or other tools supporting Machine Learning workflows

Offer:

• Private medical care

• Co-financing for the sports card

• Constant support of dedicated consultant

• Employee referral program