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