Senior Applied Machine Learning Scientist, Generative AI Model Validation ATH# 5480

Role overview

Responsibilities

• Lead GenAI, agentic AI, and LLM evaluation and testing research.
• Lead scientists validating complex AI models; review, test, evaluate, and challenge model developers.
• Recommend approval or corrective action following independent validation.
• Lead and develop a team, set performance objectives, and communicate group objectives.
• Develop validation standards compliant with bank policy, industry practice, and regulatory requirements.
• Support regulator and audit reviews; collaborate with model development, audit, and risk partners.
• Track AI advances, advise on appropriate model use, and communicate findings to technical and non-technical audiences.

Requirements

• Post-secondary degree in computer science, AI/ML, engineering, statistics, mathematics, or a related field; advanced quantitative and AI skills.
• 4+ years developing or validating generative AI, LLM, NLP, or deep learning models, and 2+ years leading a small ML scientist team.
• In-depth knowledge of GenAI, agentic AI, deep learning, modern NLP, RAG, and transformers.
• Experience with AI technology stacks such as PyTorch, LangChain, LangGraph, or Hugging Face; proficiency in one or more programming languages such as Python.
• Familiarity with Azure or AWS, PySpark or Hadoop, data structures, algorithms, OOP, and model explainability.
• Strong communication, stakeholder management, analytical thinking, and time/project management skills; able to work independently and collaboratively.

Preferred qualifications

• Relevant conference or journal publications, GenAI/LLM research, and implementing AI algorithms from academic research papers are advantages.

Compensation

• Published compensation range is CAD 90,000 to CAD 156,500 and includes a temporary market premium that is reviewed annually; no pay cadence is stated.

Location

• The description lists Montréal, Québec, Canada; it does not specify a workplace arrangement.