Join our team to drive business innovation with production-ready machine learning pipelines. You will play a key role in deploying and maintaining ML workflows, leveraging Azure for cloud computing and on-prem clusters for ETLs. Collaborating closely with Data Scientists, you will contribute to AI-powered projects while shaping the organization’s technical culture.

Responsibilities

• Developing machine learning models and feature engineering pipelines with cooperation with data scientists.
• Working with distributed data processing tools such as Spark, to parallelise computation for Machine Learning.
• Diagnosing and resolving technical issues, ensuring availability of high-quality solutions that can be adapted and reused.
• Collaborating closely with different engineering and data science teams, providing advice and technical guidance to streamline daily work.
• Championing best practices in code quality, security, and scalability by leading by example.
• Taking your own, informed decisions moving a business forward.

What we expect in general

• The ability to work in hybrid model from Krakow office is a must (3 days per week).
• Hands-on experience in deploying Python projects.
• Strong experience in writing high-quality Python code.
• Experience in developing CI/CD components and a good understanding of the SDLC.
• Experience with orchestration tools such as Airflow.
• Knowledge of Spark or other distributed data processing tools.
• Experience with Kubernetes ecosystem as a user.
• Experience with IaC, particularly Terraform, is a plus.
• Experience with Azure is a plus.
• Ability to work in a team and participate in the design process.
• Good command of English (B2/C1).

Don’t worry if you don’t meet all the requirements. What matters most is your passion and willingness to develop. Moreover, B2B does not have to be the only form of cooperation. Apply and find out!