DevOps Engineer (Machine Learning)

The Big Data & Analytics Platform (BDAP) program is a comprehensive, multi-year initiative designed to establish and operate our enterprise analytics infrastructure. The program predominantly utilizes Microsoft Azure components and is deeply integrated into our broader enterprise environment.

AI Services (AIS) are a BDAP offering for Machine Learning Operations (and GenAI/LLMOps scenarios in the near future) for internal customers. We are focusing on broad end-to-end Model Lifecycle support including automated, secure and compliant model operationalization, best practices for model development, training and validation, standard model monitoring, drift analysis and trustworthy AI options and transparent model governance capabilities.

How you will get the job done

• supporting the Product Owner and Solution Architect for further product development
• developing and optimizing ML/AI model lifecycle within Azure Databricks for end-to-end MLOps/LLMOps approach
• implementing, automating, and scaling ML pipelines using MLflow & Databricks Workflows
• monitoring and continuously improving existing models and pipelines within Databricks
• collaborating with business units to integrate Databricks-powered AI solutions into workflows
• proactive guiding and managing a development team

Let's be healthy – medical package, sports card, and numerous sports sections – these are some of the benefits that help our employees stay in good shape.

Let's be balanced – work-life balance is a key aspect of a healthy workplace. We offer our employees flexible working hours, a confidential employee assistant program, as well as the possibility of remote working. However, staying at home with our in-office gaming room and dog-friendly office in Warsaw won’t be easy.

Let's be smart – we organize numerous workshops and training courses. Thanks to hackathons and meetups, our specialists share their expertise with others. Additionally, we have a wide range of digital learning platforms and language courses.

Let's be responsible – each year, we participate in several CSR activities, during which, together with our colleagues, we do our best to create a better future.

Let's be fun – company-wide bike races and soccer matches, film marathons in our cinema room or other engaging team-building activities – we got it covered!

Let's be diverse – every team member is valued, regardless of gender, nationality, religious beliefs, disability, age, and sexual orientation or identity. Your qualifications, experience, and mindset are our greatest benefit!

• fluency in English and Polish
• strong expertise in machine learning, neural networks, and deep learning
• specialization in Azure Databricks, including Unity Catalog, Delta Lake, MLflow, Databricks Workflows and Lakehouse monitoring
• experience with ML frameworks such as TensorFlow, PyTorch, and Scikit-learn within Databricks
• experience in Cloud technologies (Azure, specifically Databricks)
• successful deployment of ML projects in production environments using Databricks
• experience in team leadership and mentoring for development teams