---
title: Risk AI Data Scientist
company: ING Hubs
category: Data Science
subcategory: Data Science
experience_level: Regular
work_mode: hybrid
location: Warszawa
employment_type: Umowa o pracę
salary_min: 13000
salary_max: 22000
salary_currency: PLN
salary_period: month
technologies: [Python, LLM, AI Agents, Azure DevOps, GitHub, PyTorch, TensorFlow, Zarządzanie danymi, Vertex AI, Vertex AI Workbench, Agent Development Kit, MLOps]
posted: 2026-10-29
valid_through: 2026-11-29
url: "https://solid.jobs/offer/39583/ing-hubs-risk-ai-data-scientist"
---

# Risk AI Data Scientist — ING Hubs

## Kluczowe informacje

- **Firma:** ING Hubs
- **Lokalizacja:** Pańska 97, Warszawa
- **Tryb pracy:** Hybrydowo
- **Wynagrodzenie:** 13k–22k PLN brutto/m (Umowa o pracę)
- **Forma zatrudnienia:** Umowa o pracę
- **Wymiar etatu:** 100%
- **Godziny pracy:** Elastyczne godziny pracy
- **Poziom doświadczenia:** Regular
- **Minimalne doświadczenie:** 2 mies.
- **Kategoria:** Data Science
- **Specjalizacja:** Data Science
- **Data publikacji:** 2026-10-29
- **Aktywne do:** 2026-11-29

## Technologie i umiejętności

**Wymagane:**

- Python — zaawansowany
- LLM — zaawansowany
- AI Agents — zaawansowany
- Azure DevOps — zaawansowany
- GitHub — zaawansowany
- PyTorch — podstawowy
- TensorFlow — podstawowy
- Zarządzanie danymi — podstawowy
- Vertex AI — podstawowy
- Vertex AI Workbench — podstawowy
- Agent Development Kit — podstawowy
- MLOps — podstawowy

## Języki

- Polski — ekspert
- Angielski — zaawansowany

## Opis stanowiska

Design and implement agentic AI workflows using ADK for risk management.  Evaluate and monitor GenAI systems for hallucinations, quality and drift.  Work with large-scale unstructured data, including documents, PDFs and OCR.  Build NLP pipelines to extract signals from text and convert them into usable features.  Fine-tune open-weight models such as Llama and Mistral on GCP GPUs for banking and financial risk applications, from exploration through production and scaling.  Write clean, modular, production-ready Python code for models, workflows and application components.

## Kogo szukamy

Key requirements:   Advanced Python practice in AI solutions, including PyTorch and TensorFlow experience.  Hands-on experience building LLM-powered applications and agentic AI workflows.  Experience manipulating and governing structured and unstructured textual and numerical data.  Practical knowledge of Google Cloud Platform, including Vertex AI, Workbench and ADK.  Strong experience with Azure DevOps and GitHub operations.  Experience with end-to-end pipelines from data and models to deployment.  Master’s degree in computer science, mathematics or economics.   Nice to have:   Experience in Agile or Scrum teams and software engineering.  Hands-on experience with transformer architecture and model fine-tuning.  Knowledge of AI risk governance.

## Lokalizacje

- Pańska 97, Warszawa, Polska

## O firmie — ING Hubs

**Wielkość firmy:** 1k-5k

**Strona WWW:** https://www.inghubspoland.com

We’re one of ING's global competence centres. We improve global banking by designing and delivering technological and operational solutions, with end-to-end expertise. Our offices are located in Katowice and Warsaw.  For over 20 years we’ve been taking up challenges and proving that we’re a trustworthy competence centre. Most people fail to see how heavily modern, digital banking relies on technology and people. This is where we step in. We’re experts growing the differnce and providing the bank with essential — and often unnoticed — solutions. We focus mainly on technology, cybersecurity, financial and non-financial risk, and compliance.  But our company is, above all, about people who create a unique atmosphere based on relations. We act together, we inspire and support each other in achieving our goals. Join our vibrant community!

## Aplikuj

Aplikuj na: https://careers.ing.com/en/job/warsaw/risk-ai-data-scientist/3121/40954641024?utm_source=SOLID.Jobs&utm_medium=referral

---

*Źródło: https://solid.jobs/offer/39583/ing-hubs-risk-ai-data-scientist · Wygenerowano: 2026-10-29T21:23:49Z*