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:
Trainee : Improving GenAI and Automatic Speech Recognition models for downstream tasks (H/F)
6 months
You must provide an internship agreement covering the entire period of the internship
Value of the position:
The goal of this internship is to work on a project enhancing Automatic Speech Recognition (ASR) and Generative AI (GenAI) models for specific business needs. Responsibilities include developing speech-to-text solutions, integrating language models, and improving speaker diarization. You will also conduct model evaluations.
Working Environment:
You will be joining the BGL BNP Paribas DataLab Team. The DataLab team is composed of 6 data scientists who develop AI solutions including Generative AI, Natural Language Processing, Automatic Speech Recognition, and Computer Vision for various banking use cases.
Key Responsibilities (Your Mission)
As an intern with the BGL BNP Paribas Datalab Team, you will be involved in the following activities:
- Developing and optimizing speech-to-text solutions tailored to business needs.
- Incorporating and adapting/finetuning LLM models within speech-to-text workflows to meet business objectives.
- Extracting valuable content from audio data using advanced ASR and NLP techniques.
- Implementing and improving diarization methods to distinguish between different speakers.
- Conducting thorough model evaluations to ensure accuracy and reliability.
- Designing and refining deep learning architectures for enhanced performance.
- Training models to achieve robust and generalizable results in diverse environments.
Your Profile
We are seeking enthusiastic and talented individuals who are passionate about the intersection of deep learning and natural language processing (NLP).
To be considered for this internship, candidates should possess the following:
- Strong knowledge of model evaluation techniques.
- Proficiency in deep learning architectures and their applications.
- Experience in model training and optimization.
- Familiarity with speech processing technologies and NLP.
- Good skills in Python coding.
Education:
Master students in last year specializing in artificial intelligence, mathematics, or computer science.
Professional Experience:
Experience in model training and optimization, and familiarity with speech processing technologies and NLP.
Behavioral Competencies:
- Ability to share/transmit knowledge
- Collaboration/teamwork
- Organizational skills
- Communication skills
- Creativity & innovation/problem-solving skills
- Ability to synthesize/simplify
During the finalization of the recruitment process, the preselected candidate will be asked to provide us an extract from his/her criminal record dated less than 3 months (record N°3 for Luxembourg), according to the dispositions of the law from July 23 2016 concerning the criminal record.
