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Join our high-impact AI team within BNP Paribas’s Corporate & Institutional Banking (CIB) division, where You’ll design, build, and deploy AI-powered solutions to revolutionize how we extract insights from unstructured data, automate decision-making, and enhance operational efficiency. Your work will directly impact credit risk assessment, client onboarding, and regulatory compliance - driving innovation at the heart of global banking.
As a team, we develop and scale a cutting-edge software platform powering the entire corporate credit chain - from origination to monitoring. Used by thousands of employees across 50+ countries since 2019, our platform is a critical backbone for global credit operations.
We Work In Agile/Scrum With Monthly Production Deployments, Fostering a Culture Of Continuous Innovation And Collaboration. As Part Of a 200+ International Team Organized Into Cross-functional Feature Squads, You’ll Have Access To
Requirements
As a team, we develop and scale a cutting-edge software platform powering the entire corporate credit chain - from origination to monitoring. Used by thousands of employees across 50+ countries since 2019, our platform is a critical backbone for global credit operations.
We Work In Agile/Scrum With Monthly Production Deployments, Fostering a Culture Of Continuous Innovation And Collaboration. As Part Of a 200+ International Team Organized Into Cross-functional Feature Squads, You’ll Have Access To
- Mentorship & knowledge-sharing from top-tier local and global experts.
- Career growth through hands-on work on AI-driven solutions with real-world impact.
- Scaling opportunities as we expand our AI team significantly in 2026.
Requirements
- 3-5 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).
- 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.
- Hybrid work mode (50% working from home within a month).
- Equivalent for remote work expenses (100 PLN per month).
- Stable employment in the international company.
- Fully paid private medical care for employee.
- Pre-paid lunch card.
- Employee Pension Plan.
- Co-financed Multisport Card.
- MyBenefit Cafeteria Platform.
- Life insurance.
- Car parking availability in the office building.
- Trainings and development opportunities.
Key Skills
Ranked by relevance
ai
natural language processing
machine learning
deep learning
kubernetes
pytorch
python
docker
mlops
cicd
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- Posted
- Dec 26, 2025
- Type
- Full-time
- Level
- Entry
- Location
- Warsaw
- Company
- BNP Paribas CIB
Industries
Financial Services
Categories
Engineering
Information Technology
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