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

TD
Montréal, CAN
Full-time
Mid-Senior
Onsite
CAD 156,500–CAD 90,000
Discovered Yesterday
Generative AIAgentic AILarge language models (LLMs)Natural language processing (NLP)Deep learningRetrieval-Augmented Generation (RAG)

Full Job Posting

Role overview

The AI Model Validation group reviews and approves AI models used across the enterprise, including Generative AI and other deep learning models.

This role reports to the AVP of AI Model Validation and leads work reviewing Generative AI, NLP, and deep learning models.

Model validation and research

  • Lead R&D in Generative AI, Agentic AI, and LLM evaluation and testing.
  • Lead scientists validating complex AI models, especially Generative AI, LLM/NLP, and deep learning models.
  • Independently review, test, and challenge models; recommend approval or corrective action.
  • Develop model validation standards and procedures aligned with bank policy, industry and academic practices, and regulatory requirements.

Leadership and partnerships

  • Lead and support model validators; establish performance objectives, provide feedback, and coach direct reports.
  • Coordinate with model developers, Audit, other risk-control functions, and business partners.
  • Respond to Canadian and U.S. regulators and internal or external auditors about models and validation processes.
  • Share subject matter expertise and communicate findings to technical and non-technical stakeholders.

Qualifications

  • Post-secondary degree in computer science, machine learning/AI, engineering, statistics, mathematics, or a related field, with advanced quantitative and AI skills.
  • At least 4 years developing or validating Generative AI, LLM, NLP, or other deep learning models; at least 2 years leading a small machine learning science team.
  • In-depth knowledge of Generative AI, Agentic AI, deep learning, NLP, RAG, and transformers.
  • Experience with AI technology stacks such as PyTorch, LangChain, LangGraph, or Hugging Face; programming proficiency in one or more languages such as Python.
  • Familiarity with Azure or AWS, PySpark or Hadoop, data structures, algorithm design, object-oriented programming, and model explainability.
  • Strong communication, stakeholder management, analytical thinking, and time and project management skills; ability to work independently and collaboratively.

Preferred qualifications

  • Relevant publications or research in Generative AI/LLMs, and ability to implement algorithms from academic research papers, are advantageous.

Pay information

  • The posting lists CAD 156,500–CAD 90,000 and says the pay details include a temporary market premium reassessed annually; no compensation cadence is stated.

Work location

  • The stated work location is Montréal, Quebec, Canada; no workplace policy is specified.

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