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.com
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Tech 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
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GFT Poland

GFT Poland

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