DevOps Engineer - AI & Machine Learning Platform

O projekcie: Offer: - Private medical care  - Co-financing for the sports card  - Constant support of dedicated consultant  - Employee referral program Wymagania: 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 Codzienne zadania: - 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