Implement data processing pipelines using Python and PySpark
Develop supervised and unsupervised machine learning models
Build and evaluate LLM-based and Generative AI solutions (prompting, orchestration, evaluation)
Develop analytical and alerting models for financial crime detection
Perform business-oriented data analysis and functional design
Work within the Big Data ecosystem to process and transform large datasets
Optimize distributed data processing jobs (Spark)

Minimum 5–6 years of commercial experience in similar roles
Very good knowledge of Python 3.x
Experience with PySpark and distributed data processing
Practical experience within the Big Data ecosystem
Experience in developing analytical or alerting models
Solid understanding of data pipelines and scalable data architectures
Experience with Agentic AI frameworks and AI agent development
Knowledge of LLMs and Generative AI (prompt engineering, orchestration, evaluation)
Experience in: Machine Learning (Supervised & Unsupervised Learning)
Large Language Models (LLM)
Generative Models (GANs, Variational Autoencoders – VAE)
Experience with Spark (Big Data / Streaming)
Data analysis skills including business and functional design
English level B2+

Hybrid work in one of our locations: Lodz, Poznan, Krakow, Warszawa, Wroclaw (2 office days per week)
Working in a highly experienced and dedicated team
Benefit package that can be tailored to your personal needs (private medical coverage, sport & recreation package, lunch subsidy, life insurance, etc.)
On-line training and certifications fit for career path
Access to e-learning platform Mindgram
a holistic mental health and wellbeing platform
Work From Anywhere (WFA)
the temporary option to work remotely outside of Poland for up to 140 days per year (including Italy, Spain, the UK, Germany, Portugal, and Bulgaria)
Social events

Data Engineer / Data Scientist – AI, LLM Solutions

Key skills