Machine Learning Engineer – General ML & Generative AI

Technologies we use

About the project

Your responsibilities

• Design, train and optimize classical machine learning and Generative AI models for enterprise-grade use cases
• Build and maintain end-to-end ML and GenAI pipelines including data preparation, feature engineering, training, validation, deployment and monitoring
• Ensure robustness, performance and reproducibility of ML and GenAI solutions running in production
• Integrate LLM-based solutions using APIs and GenAI frameworks into existing system landscapes
• Collaborate closely with internal ML engineers and data teams on technical design, implementation and operational topics

Our requirements

• Successfully completed university degree in Computer Science, Data Science, Mathematics or a related field
• Practical experience delivering Generative AI solutions and a solid understanding of LLM architectures and limitations
• Strong Python engineering skills, including clean code practices and software engineering best standards
• Hands-on experience with Git-based code versioning and working with CI/CD pipelines as a user
• Experience with productive ML and GenAI platforms and cloud-based environments (e.g. Databricks, AWS, Azure or GCP)
• Fluent communication skills in English and Polish and availability to work in a hybrid mode with 1–2 office visits per week.

What we offer

• Motivizer Benefits Platform to choose and manage all your benefits in one place. You receive a budget (550 PLN monthly). You can choose medical care package, meal tickets, sports cards (we have Multisport and on preferential terms, we have membership cards to one of the most popular Gyms), cinema tickets, shop vouchers, discounts and many more.
• Language Courses – you'll have access to a multi-language learning platform enabling you to practice you language skills and learn new ones!
• Regular and systematic further training opportunities - both internally and from external providers. We support your ongoing learning and development.
• Cooperation within an internal community is our everyday reality. We have networking events, coding challenges, and company parties for different occasions.