Internship - NLP Intern Customer Virtual Assistant (M/F)
BNP ParibasLuxembourg16 hours ago
InternshipOther
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BGL BNP Paribas is one of the largest banks in Luxembourg and part of the BNP Paribas Group.
It offers an especially wide range of financial products and bancassurance solutions to individuals, professionals, businesses and private banking clients.
In 2020, BGL BNP Paribas was named “Best Bank in Luxembourg” by Euromoney for the fifth year in a row.
As part of its development, we are looking for a:
NLP Intern – Customer Virtual Assistant
6 months internship
CONTEXT AND CHALLENGES
We are excited to offer a unique internship opportunity at BGL BNP Paribas DataLab for a motivated and talented individual passionate about Natural Language Processing and Artificial Intelligence. As an NLP Intern, you will play a key role in designing, developing, and refining an innovative Customer Virtual Assistant for the financial sector. This advanced solution, developed within the dynamic and forward-thinking environment of the DataLab in Luxembourg, will enhance customer interactions by leveraging sophisticated language technologies, supporting multiple languages, and integrating cutting-edge AI features.
WHAT’S YOUR DAY-TO-DAY MISSION?
Your working environment
Professional experience and/or degree
Proficiency in English and French
It offers an especially wide range of financial products and bancassurance solutions to individuals, professionals, businesses and private banking clients.
In 2020, BGL BNP Paribas was named “Best Bank in Luxembourg” by Euromoney for the fifth year in a row.
As part of its development, we are looking for a:
NLP Intern – Customer Virtual Assistant
6 months internship
CONTEXT AND CHALLENGES
We are excited to offer a unique internship opportunity at BGL BNP Paribas DataLab for a motivated and talented individual passionate about Natural Language Processing and Artificial Intelligence. As an NLP Intern, you will play a key role in designing, developing, and refining an innovative Customer Virtual Assistant for the financial sector. This advanced solution, developed within the dynamic and forward-thinking environment of the DataLab in Luxembourg, will enhance customer interactions by leveraging sophisticated language technologies, supporting multiple languages, and integrating cutting-edge AI features.
WHAT’S YOUR DAY-TO-DAY MISSION?
- Participate in the construction and implementation of a Customer Virtual Assistant solution.
- Enhance and improve the Natural Language Understanding (NLU) capabilities of the assistant.
- Integrate Retrieval-Augmented Generation (RAG) and Large Language Model (LLM) technologies.
- Develop, test, and validate new features and AI-driven functionalities.
- Contribute to multilingual support and adaptation for financial services use cases.
- Work with various tools and platforms to streamline the development and deployment process.
- Conduct rigorous validation and testing to ensure the reliability and effectiveness of the solution
Your working environment
- Location: Luxembourg
- Team composition: 10 data scientists and Machine learning Engineers
- Interactions: You will collaborate with team members and may interact with experts from other departments, including technology and business units
- Hands-on experience with state-of-the-art AI and machine learning frameworks.
- Practical knowledge in building and deploying customer-facing virtual assistants.
- Advanced techniques in NLU, NER, RAG, and LLM integration.
- Best practices for multilingual AI systems in the financial industry.
- Collaboration with experienced software engineers and AI specialists.
Professional experience and/or degree
- Required experience: Pursuing a degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related technical field.
- Collaboration and teamwork
- Organizational skills
- Communication skills
- Creativity and innovation
- Problem-solving skills
- Analytical thinking
- Essential:
- Solid understanding of AI/ML concepts and natural language processing.
- Familiarity with Python and popular ML frameworks (e.g., TensorFlow, PyTorch).
- Nice-to-have: Knowledge of RAG and LLM systems.
Proficiency in English and French
Key Skills
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