Python/ Machine Learning Engineer (Regular/Senior)

VirtusLab is part of the expanding VirtusLab Group, offering a dynamic culture rooted in strong engineering, ownership, and transparency. The company focuses on impactful software industry projects within a forward-thinking organization.

• Strong experience in writing high-quality Python code and deploying production-level projects.
• Significant experience in Data Engineering, specifically with PySpark, data quality monitoring, and workflow orchestration.
• Proficiency in Azure or equivalent cloud providers.
• Hands-on experience with Infrastructure as Code principles.
• Practical experience automating CI/CD pipelines via GitHub Actions.
• Robust DevOps mindset.
• Excellent communication skills and ability to work in a cross-functional, collaborative environment.
• Good command of English (B2/C1 level).
• Availability for hybrid work model (2-3 days per week in Kraków office) or on-site collaboration approximately once a month.

• Build and own data pipelines on a Spark Kubernetes cluster orchestrated with Airflow using PySpark.
• Improve and introduce data validation and monitoring to ensure trustworthy data at every stage.
• Provision and manage Azure resources using Infrastructure as Code.
• Automate CI/CD pipelines with GitHub Actions and maintain workflows.
• Enhance monitoring to improve reliability and stability of deployed ML solutions using Grafana/Prometheus.
• Collaborate with cross-functional teams to ensure seamless deployment and serving of ML models.
• Actively shape the project’s technical roadmap and direction.