AI Scientist, Advanced Analytics and AI

Provide AI solutions leveraging statistics, machine learning, natural language processing, GenAI, and optimization techniques.,Conduct self-directed research to solve business problems.,Work with business units to understand needs, opportunities, and pain points, translating data to insights.,Maintain a strong desire to enhance AI/ML techniques and approaches.,Collaborate with data experts for feature engineering.,Develop robust and efficient modular Python code in a non-notebook environment.,Create APIs and work with Git version control tools.,Mentor junior team members and offer technical thought leadership.

Degree in Artificial Intelligence, Data Science, Computer Science, Software Engineering, Statistics, Mathematics, or a related field.,1-3 years of experience in machine learning, natural language processing (NLP), natural language understanding (NLU), and/or other AI techniques.,Extensive hands-on experience with Python.,Proficiency in writing SQL/Spark scripts.,Proficiency with Git for version control, team collaboration, and code reproducibility.,Ability to write clean, maintainable, and scalable code, applying object-oriented programming principles and software design patterns.,Experience with Azure and Databricks for deploying and scaling AI models (asset).,Familiarity with containerization technologies like Docker and Kubernetes (desirable).,Knowledge of AI lifecycle management concepts and related tools (additional advantage).,Demonstrated familiarity with AI agents and agentic workflows, including designing, developing, and deploying agent-based systems.,Practical exposure to real-world applications of agentic AI (highly preferred).

Bachelor's Degree or related field

Must be legally eligible to work at the specified location(s), may require valid work or study permit. May need to complete attribute-based assessment and other skills tests (simulation, coding, French proficiency).