Python & MLOps Engineer

VirtusLab is a leading European software consulting and engineering company focused on crafting clean code and practical solutions. The company fosters a culture rooted in strong engineering, ownership, and transparency, empowering professionals to impact the software industry.

• Strong track record in writing high-quality Python code.
• Hands-on experience with different stages of the Machine Learning Lifecycle.
• Experience with Infrastructure as Code for setting up cloud resources.
• Experience creating data pipelines, ideally with PySpark.
• Solid understanding of monitoring in production systems.
• Good command of English (B2/C1).
• Availability to work in a hybrid model occasionally.

• Implementing the end-to-end Machine Learning Lifecycle, from data preparation through automated deployment to continuous monitoring of data and models in production.
• Developing PySpark data pipelines to load and transform large datasets for modeling and analytics.
• Provisioning cloud resources in AzureML using Infrastructure as Code with Terraform.
• Selecting architectural patterns to solve business problems.
• Building robust and maintainable code for cloud and on-prem environments to enable fast and reliable model production.
• Establishing a mature DevOps culture and developing reusable solutions across multiple business domains.