Risk AI Data Scientist

Solid Company; Polska; Hybrid; PLN 180,000 - 260,000; Full time

Job summary

Solid Company poszukuje wykwalifikowanego specjalisty AI do projektowania przepływów agentic AI i implementacji ADK w zakresie zarządzania ryzykiem. Kandydat będzie oceniać i monitorować GenAI pod kątem halucynacji, jakości i dryfu oraz pracować z dużymi zbiorami nieustrukturyzowanych danych.

Wymagane jest doświadczenie w Pythonie (PyTorch, TensorFlow), budowie aplikacji LLM i end-to-end pipelines, a także praktyczna znajomość GCP (Vertex AI, Workbench, ADK) oraz Azure DevOps i GitHub.

Qualifications

• Advanced Python practice in AI solutions, including PyTorch and TensorFlow.
• 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.

Skills

Python

PyTorch

TensorFlow

LLM apps

Agentic AI workflows

Data governance

End-to-end pipelines

Education

Master’s degree in computer science/mathematics/economics

Tools

Vertex AI

Workbench

ADK

Azure DevOps

GitHub

Job description

• 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 poszukujemy?

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.