About The Position
Thales Group is a global organization with operations on all continents serving five major markets, all of them of vital importance for our societies: aerospace, space, defense and security, and digital identity and security. From the bottom of the ocean to the depth of space and cyberspace, Thales Group provides a unique range of technologies and services that make tomorrow possible, today. From helping cities and critical infrastructures to become safe and smart, to securing the global financial markets, protecting data and privacy and keeping security forces connected while on critical missions, Thales ensure that everyone can continue to share information, reap the benefits of a connected world and enjoy an enhanced quality of life, while staying safe and one step ahead of all forms of digital threat. Thales’ Applied AI Research Team in Canada is looking for a talented researcher with a great appetite to solve complex research questions and apply them to critical AI projects. This position is part of the Generative and Agentic AI team that is responsible for designing and proving the value of novel Agentic AI applications with a focus on trustable AI.
Requirements
- 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).
Nice To Haves
- 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
- Experience in designing and maintaining enterprise Agentic AI workflows, with appropriate databases and tools
- Demonstrated teamwork and collaboration in professional settings
- Scientific publications in AI, ML
- Fluency in English (spoken and written).
Responsibilities
- Discovering, enabling and integrating complex innovative AI concepts into Thales solutions.
- Validating feasibility through the implementation of Proofs of Concept (PoCs).
- Guiding maturity growth through prototypes and demonstrators.
- Quickly learning and assessing new techniques and technologies to decide whether to adopt, adapt or discard them.
- Coming up with new ideas, presenting them, challenging them and improving them continuously.
- Developing and training AI and ML, with a focus on developing solutions using Generative AI, whether deployed as Agentic AI or LLM workflows.
- Demonstrating a strong understanding of the scientific method and ability to deliver quality content at all steps of the research process.
- Summarizing the theoretical background of a novel domain.
- Disseminating research outputs through peer-reviewed publications, patents or other means.
- Contributing as a technical subject matter expert to Research and Technology projects across Thales and its business units.
Benefits
- Company paid Extended Health
- Dental
- HSA
- Life
- AD&D
- Short-term Disability
- travel insurance
- Employee Assistance Plan
- Well-Being program
- Retirement Savings Plans (RRSP, DCPP, TFSA) with a company contribution and a match to a DCPP, with no vesting period.
- Company paid holidays
- vacation days
- paid sick leave
- Voluntary Life
- AD&D
- Critical Illness
- Long-Term Disability
- Employee Discounts on insurance (home, and auto).
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What This Job Offers
Job Type
Full-time
Career Level
Senior
