Responsibilities
Extract critical data from documents * design and implement cutting edge information extraction pipelines that turn unstructured PDFs, contracts, statements and other banking documents into structured, searchable data.
Build and deploy agentic AI solutions* create autonomous assistants that can act on behalf of clients and internal users, streamlining processes and improving decision making.
Work daily with large language models (LLMs) fine tune, prompt, and integrate LLMs into production workflows to deliver real time insights.
Apply state of the art Natural Language Processing (NLP)* leverage advanced NLP techniques for text classification, language generation and entity recognition, boosting data quality and operational efficiency across the bank.
Basic qualifications
4 - 8 years of professional experience in Machine Learning / Natural Language Processing - hands on experience with data cleaning, normalization and transformation.
Hands-on experience with GenerativeAI, knowledge of OpenAI API (experience with agentic frameworks is a plus).
Knowledge of NLP libraries and Machine Learning / Deep Learning frameworks (PyTorch/ scikit / etc.). Experience with model assessment.
Proficiency in Python programming.
Production-oriented mindset - knowledge of Docker (Kubernetes is a plus),MLOps, basic knowledge of CI/CD pipelines, unit testing.
Strong curiosity and willingness to learn.
Team player attitude.
Proficient English (mandatory for documentation and team communication).
Benefits
Hybrid work mode**, 50% working from home within a month.
Equivalent for remote work expenses (120 PLN per month).
Fully paid private medical care for employee.
Pre-paid lunch card.
Employee Pension Plan.
Multisport Card.
MyBenefit Cafeteria Platform.
Life insurance.
Car parking availability in the office building.
Trainings and development opportunities.