• proven 1+ years commercial experience in Machine Learning
• proven 2+ years commercial experience and excellent skills in Python
• practical skills in working with LLMs and vector databases
• good understanding of pros and cons of different machine learning methods and prompting techniques
• good knowledge of creating production-ready ML-based application
• practical knowledge of good practices like SOLID, DRY, Design Patterns
• excellent command of English and Polish, both written and spoken (CEFR B2+)
• a deep concern for usability of the products you work on

• diagramming / graph theory
• experience in TypeScript/React
• theoretical background of machine learning methods
• ingenuity of novel solutions and directions of research and development
• client/data-oriented attitude
  

• Implementing internal POCs and MVPs for custom products
• Inventing new solutions and transforming research ideas into practical business applications
• Bridging the gap between business needs and cutting-edge research
• Having code versioned with Git (code reviews, technical debt management)
• Building and deploying scalable ML-based applications and pipelines
• Working in an Agile environment to iterate and improve solutions efficiently

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• designing and developing on-production LLM-based solutions
• development of in-house machine learning solutions
• delivering applications that help companies to improve their business
• helping to speed up our clients’ decision-making process
• having code versioned (git) and containerized (docker)
• improving and optimizing research-and-development tools and processes
• deploying and maintaining projects in Agile methodology