Data Engineer / Data Scientist (AI & LLM Solutions) Expert
18 800 - 28 500 PLN/ mies.Umowa o pracę (brutto)
SeniorFull-time·Umowa o pracę
#303277·Dodano 2 miesiące temu·74
Źródło: nofluffjobs.comTech Stack / Keywords
PythonPySparkSparkBig dataalertic modelsData pipelinesagentic AIAI agentLLMMLGANsvaeData scienceData engineering
Firma i stanowisko
GFT Poland is a stable company with 32 years on the market, working on demanding projects for major financial institutions worldwide. The role is within the Transaction Monitoring area of the Anti-Financial Crime Division for a UK banking client, focusing on advanced analytics and intelligent automation.
Wymagania
- 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 with Spark (Big Data / Streaming)
- Data analysis skills including business and functional design
- English level B2+
- Experience in Machine Learning (Supervised & Unsupervised Learning)
- Experience with Large Language Models (LLM)
- Experience with Generative Models (GANs, Variational Autoencoders – VAE)
Nice to have:
- Experience in financial services or transaction monitoring
- Experience in Anti-Financial Crime (AFC) domain
- Experience working in regulated environments
Obowiązki
- 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)
Oferta
- Hybrid work mode: 2 days per week on-site (Łódź, Warsaw, Kraków, Poznań, or Wrocław)
- Working in a highly experienced and dedicated team
- Benefit package tailored to personal needs (private medical coverage, sport & recreation package, lunch subsidy, life insurance, etc.)
- Online training and certifications aligned with career path
- Access to e-learning platform
- Mindgram mental health and wellbeing platform
- Work From Anywhere (WFA) option: temporary remote work outside Poland up to 140 days per year (including Italy, Spain, UK, Germany, Portugal, Bulgaria)
- Social events
Opieka zdrowotna
Karta sportowa
Ubezpieczenie
Dofinansowanie szkoleń
Spotkania integracyjne
GFT Poland
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