NLP engineer (Knowledge Representation and Processing) Full-time

Contexte et atouts du poste

iDiscover is a startup incubated by INRIA offering a SaaS service based on an innovative framework, designed to enhance human-machine communication for any application that integrates it. By integrating this framework, applications can move into the other dimension, that of applications that communicate naturally with human.

Mission confiée

We’re looking for talented people with a passion for using recent advancements in NLP and prompt engineering to develop algorithms that can simulate human reasoning processes (thought, action, observation).

Collaboration :
The recruited person will be in connection with the future CEO/CTO of the startup for defining the action plan.

Principales activités

Main activities:

• Good understanding of the NLP models and their algorithms in order to solve complex language-related problems (simulation of human reasoning processes (thought, action, observation)).
• Implement and optimize NLP solutions for tool choosing (Toolformer).
• Evaluate and fine-tune NLP models for performance, scalability, and accuracy.
• Work with the project team to ensure seamless integration throughout solution development.
• Create and maintain documentation for NLP models, processes, and tools.

Additional activities:

• Stay up-to-date with the latest advancements in NLP and machine learning by reading the most recent research articles.

Compétences

Technical skills:

• Proven experience in NLP, machine learning, and data analysis.
• Strong programming skills in Python and familiarity with NLP libraries such as NLTK, spaCy and Hugging Face Transformers.
• Experience with machine learning frameworks like TensorFlow, PyTorch, or similar.
• Knowledge of deep learning techniques and neural network architectures.

Additional skills:

• Familiarity with the LangChain framework.
• Familiariry with software engineering principles.

Relational skills:

• Self-sufficiency

Langages:

• English (mandatory), French

Avantages

• Subsidized meals
• Partial reimbursement of public transport costs
• Leave: 7 weeks of annual leave + 10 extra days off due to RTT (statutory reduction in working hours) + possibility of exceptional leave (sick children, moving home, etc.)
• Possibility of teleworking (after 6 months of employment) and flexible organization of working hours
• Professional equipment available (videoconferencing, loan of computer equipment, etc.)
• Social, cultural and sports events and activities
• Access to vocational training
• Social security coverage