🔹 Design, implement, and maintain end-to-end ML pipelines and data workflows

🔹 Develop, test, and deploy machine learning models that support business goals

🔹 Refactor and optimize legacy solutions to improve performance, maintainability, and scalability

🔹 Integrate new data sources and improve existing data ingestion processes

🔹 Collaborate with data scientists, analysts, and engineers to productionize ML prototypes

🔹 Troubleshoot issues in data pipelines and ML infrastructure, ensuring stability and efficiency

🔹 Follow DevOps best practices using Azure DevOps for deployment, version control, and task management

🔹 Maintain clear documentation of solutions, workflows, and architectural decisions

• 50% tax-deductible costs (KUP)
• 8% annual bonus
• Private medical care
• Multisport card
• PZU insurance
• Employee pension program
• Financial allowance
• Trainings & certifications