Task description and requirements
Since its inception, the Group has based its development on a strong culture of entrepreneurship and innovation, and on the support and upskilling of its 7800 employees who are committed every day to promoting the complementarity between digital technologies and complex system engineering.
In Canada, the firm specializes in IT consulting services and engineering. Our teams successfully drive our clients' development strategies. Around common values, we have gained their trust and address their business challenges by putting their needs at the center of our actions and priorities.
This ecosystem of expertise enables the company to adapt quickly to evolving technologies, and all employees participate collaboratively in their development.
Are you ready to take on a new challenge, give your career a boost, and participate in innovative and stimulating projects?
Join a rapidly growing Group in Canada and worldwide that achieved a turnover of €600 million in 2023.
What we will achieve together :
Responsible for designing and developing predictive models and algorithms to analyze and interpret complex data sets. They use their expertise in statistics, machine learning, and data mining to identify patterns and insights in data, and communicate their findings to stakeholders. They also collaborate with other data professionals to develop data-driven solutions to business problems.
Your mission would be :
• Create and maintain NLP models leveraging Huggingface Transformers.
• Working on Google Cloud, leveraging best practices for cloud.
• Generating new use case ideas to solve business problems/improve results.
Your profile :
• Top 3 skills sets and qualifications : NLP modelling experience, leveraging Huggingface Transformers.
• Experience working on Google Cloud.
• Knowledge of prompt engineering and LLMs (Large Language Models), especially RAG and PEFT.
Let's meet :
Do you like our common project?
Apply here and join our team!
Our Advantages :
• A tailored CARE policy deployed by our HR teams for our employees.
• Our Diversity Charter.
• Activities among colleagues such as Teambuilding or Happy Hours.
