Date de mise à jour de l’offre


We are a startup in Fintech. We offer cutting-edge technological solutions, with a big focus on NLP, to major listed groups and SMEs, as well as to investment funds, using State-of-the-Art models in order to gain speed and agility in the face of an ever-increasing volume of data to be processed.

Description de la mission

We are looking for candidates to deploy cutting edge AI technologies/Deep Learning models in NLP to help us in developing revolutionary AI products for the Financial Services Industry and help us in our mission of making capital more efficient.

- Suggestion improvement based on Feedback Loop. Build an algorithm that captures irrelevant suggestions to the user on our platform and create a system that learns based on the edits provided by the user.

- GPT3 Implementation. Want to discover the famous State-of-the-Art model from OpenAI? Help us implement it in various tasks from summarization to Q&A.

- IPO Prospectus/ Broker Report Analysis and summarization. When a company goes for IPO they submit a prospectus, which captures a lot of information about the industry and the company. The document is very information heavy and a short summary of such documents will help the investors to digest the information effectively.

- News Digest Creation. We need to build an algorithm to summarise key points mentioned in the news about a company so that the reader can digest a huge volume of information in a very short span of time.

- Patent Analytics. Analyze the patent landscape of a company (based on the portfolio of patents) to identify the competition and other value creation opportunities.

- Chatbot for Easy Data Extraction from our platform

- Create a chatbot based interaction system for the user to extract data from our platform.

Profil recherché

Enrolled in the last year of a Master of Science and Engineering
Fluent in English
Good understanding of NLP and Deep Learning
Proficient in Python
Familiarity with TensorFlow/Pytorch, Keras
Able to use pre-trained models
Familiar with at least one architecture using Encoders and Decoders with attention layers
Familiar with different types of embeddings, such as BERT, Glove, T5
Able to implement architectures from research papers
Good data gathering and pre-processing skills
Familiarity with libraries such as NLTK, Spacy, CoreNLP, Transformers

Niveau de qualification requis

Bac + 4/5 et +
  • Employeur
    73 STRINGS
  • Secteur d’activité de la structure
    Emploi - Economie - Innovation - Numérique
  • Effectif de la structure
    De 21 à 50 salariés
  • Site internet de la structure
  • Type de stage ou contrat
    Stage d'immersion en milieu professionnel dans le cadre de la formation professionnelle continue
  • Date prévisionnelle de démarrage
  • Durée du stage ou contrat
    Plus de 4 mois et jusqu'à 6 mois
  • Le stage est-il rémunéré ?
  • Niveau de qualification requis

    Bac + 4/5 et +
  • Lieu du stage
    5 Parvis Alan Turing
  • Accès et transports