DevOps Engineer - AI & Machine Learning Platform

Responsibilities:Support the build, deployment, and maintenance of Machine Learning applications used within financial crime prevention initiativesDevelop and maintain CI/CD pipelines enabling efficient and reliable deployment of AI/ML solutionsWork closely with data scientists, engineers, and platform teams to operationalize Machine Learning modelsManage containerized environments and infrastructure supporting ML workloadsEnsure stability, scalability, and performance of Big Data and AI platformsContribute to improving development workflows, automation, and platform reliabilityCollaborate 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 platformsStrong hands-on experience with Python (minimum 2 years) combined with development in Big Data and AWS environmentsPractical experience working with Git-based version control systems and development platforms such as GitHub or BitbucketExperience with CI/CD pipelines, particularly using JenkinsStrong working knowledge of Linux environments and Bash scriptingHands-on experience with containerization using DockerExperience working with Machine Learning and Big Data tools, including MLflow, PySpark, and HadoopPractical experience working with relational databases, such as MS SQL or OracleFamiliarity with artifact repositories, such as Artifactory or NexusPractical experience using Jira and Confluence in an Agile development environmentGood command of English (both written and spoken), enabling effective collaboration in an international environmentNice to have:Experience with container orchestration platforms, particularly KubernetesFamiliarity with Kubeflow or other tools supporting Machine Learning workflows Offer:Private medical careCo-financing for the sports cardConstant support of dedicated consultantEmployee referral program