Informacje o stanowisku

Offer:

• Private medical care 
• Co-financing for the sports card 
• Constant support of dedicated consultant 
• Employee referral program 

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 

,[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: DevOps, AI, Machine learning, Big Data, Python, Git, GitHub, Bitbucket, Jenkins, Linux, Bash, Docker, MLflow, PySpark, Hadoop, Relational database, MS SQL, Oracle, Artifactory, Jira, Confluence, Kubernetes, Kubeflow Additionally: Sport Subscription, Private healthcare, Employee referral bonus.

Praca Gdańsk

Gdańsk - Oferty pracy w okolicznych lokalizacjach