Applied AI Research Scientist - Generative and Agentic AI / Scientifique en IA Appliquée- IA Générative et Agentique
HybridQuébec, Quebec, Canada
Job Summary
Discover, enable, and integrate complex innovative AI concepts into Thales solutions by validating feasibility through Proofs of Concept and guiding maturity growth via prototypes and demonstrators. Develop and train AI and ML models, specifically focusing on Generative AI and Agentic workflows using frameworks like LangChain and LlamaIndex. Assess new techniques to decide on adoption, adaptation, or discarding, while presenting and continuously improving novel ideas. Deliver quality research outputs from theoretical summaries to peer-reviewed publications and patents, acting as a technical subject matter expert across business units. Collaborate within a multi-disciplinary team to transfer work to all stakeholders, ensuring clear communication of scientific work through talks, presentations, and publications.
Required Qualifications
- MSc in engineering, computer science, applied mathematics, statistics, or a related field
- Prior experience in AI/ML
- Experience in applying paper or Github projects to new problems
- Demonstrated work experience using Large Language Models (LLM)
- Experience and understanding of data analysis and representation methods applied to sparse and dense data
- Experience in the development, test and tuning of complex LLM or Agentic workflows
- Experience with popular LLM integration frameworks like LangChain/Graph, LlamaIndex, Haystack
- Strong foundation in mathematics, statistics and probability
- Work experience using Linux OS
- Demonstrated experience in completing an applied research project, from problem to results, with minimal guidance
- Demonstrated leadership abilities in school, civil or business organisations
- Ability to work creatively and analytically in a problem-solving environment
- Communicating scientific work clearly and effectively (talks, presentations, publications, etc.)
- Fluency in French (spoken and written)
- Strong team spirit and teamwork capabilities
- Curiosity for what is new
- Willingness to challenge the status quo
- Open-mindedness and out-of-the-box thinking
- Ability to quickly learn and assess new techniques and technologies
- Ability to come up with new ideas, present them, challenge them and improve them continuously
- Deep, hands-on technical skills in the development and training of AI and ML
- Ability to demonstrate transverse skills that would facilitate the transfer of the work carried out to all stakeholders involved
- Good communication skills
- Must be able to lift 50 lbs
Desired Qualifications
- Minimum 2 years of machine learning experience in Python
- Industry experience in developing code with other developers
- Industry experience in building and deploying machine or deep learning models
- Experience in developing clean and reusable data transformation pipelines applied to text data
- Experience in developing, tuning and testing LLM-based agents, using tools, databases (MCP Servers) and complex workflows
- Experience with various provider and size of open source and proprietary LLMs
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