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

Source: https://realanalystjobs.com/job/senior-applied-machine-learning-scientist-generative-ai-model-validation-ath-548-df6d152a
Senior Applied Machine Learning Scientist, Generative AI Model Validation ATH# 5480 at TD, an on-site role based in Montréal, Canada. Pay stated in the posting: $156,500 to $190,000. Posted on 26 October 2026, read from TD's own careers page (Workday), which RealAnalystJobs re-checks daily and removes the role when it closes.

Updated 15 November 2026.

## Key facts

- Company: [TD](https://realanalystjobs.com/companies/td)
- Location: Montréal, Canada
- Work mode: On-site
- Pay stated in the posting: $156,500 to $190,000
- Posted: Oct 26, 2026
- Employment type: Full time
- Source: TD's careers page (Workday), re-checked daily

Skills: [Python](https://realanalystjobs.com/skills/python), AWS, Azure, Spark

## About this role

Work Location:

Montréal, Quebec, Canada

Hours:

37.5

Line of Business:

Analytics, Insights, & Artificial Intelligence

Pay Details:

$156,500 - $190,000 CAD

The pay details posted reflect a temporary market premium specific to this role that is reassessed annually.

TD is committed to providing fair and equitable compensation opportunities to all colleagues. Growth opportunities and skill development are defining features of the colleague experience at TD. Our compensation policies and practices have been designed to allow colleagues to progress through the salary range over time as they progress in their role. The base pay actually offered may vary based upon the candidate's skills and experience, job-related knowledge, geographic location, and other specific business and organizational needs.

As a candidate, you are encouraged to ask compensation related questions and have an open dialogue with your recruiter who can provide you more specific details for this role.

Job Description:

*Department Overview

The Model Validation (MV) group is a centralized Model Risk Management function within the Bank. It has seen fast growth in the past few years reflecting global regulators’ increasing attention on model risk. The Artificial Intelligence (AI) Model Validation (MV) group is responsible for the review/vetting and approval of AI models developed and used across the enterprise (e.g., Fraud, Retail Credit Risk, Marketing, NLP, TD Wealth, TD Asset Management, Treasury Balance Sheet Management, TD Insurance, TD Securities), including Generative AI and other contemporary Deep Learning models.

*Job Description

The position reports to the AVP, AI Model Validation group and is primarily focused on leading the team responsible for the review/vetting of Generative AI, NLP and other Deep Learning models.

Detailed accountabilities include:

• Lead R&D in the GenAI/Agentic/LLM evaluation and testing areas.
• Lead a team of Machine Learning Scientists to perform validation/review of complex AI models, particularly Generative AI, LLMs / NLP and Deep Learning models.
• Validate (review, test/evaluate, and provide effective challenge to the model developers) AI models, particularly Generative AI and Agentic models.
• Recommend the approval of models or other corrective actions based on an independent validation. • Lead and support a team of model validators.
• Ensure performance objectives are set for all staff and that performance feedback is provided on a regular basis.
• Communicate group objectives and strategies and align group activities in support of business objectives.

• Support employee development activities, coach and support direct reports in meeting their personal development objectives.
• Assume a leadership role in developing standards and procedures for vetting and validation of Generative AI, Agentic AI and diverse Deep Learning models that are compliant with the Bank’s internal Model Risk Policy, adhere with industry and academic best practices, and meet regulatory requirements.
• Respond to requests from both Canadian and U.S. regulators, internal and external audit in their review/audit of models and vetting/validation process and procedures. Provide information and assistance as required.
• Work effectively with internal Model Development groups, Audit, and other internal partners to ensure models meet required Bank standards for use.
• Play a key role in ensuring the appropriate use of AI models. Identify the need to implement new models/techniques as industry standards evolve and regulatory requirements change.
• Maintain full professional knowledge of techniques and developments in the field of AI and Machine Learning, and share knowledge with business partners and senior management. Provide subject matter expertise to business units on Generative AI, Agentic AI, LLMs / NLP and other Deep Learning modeling and validation.
• Stay up to date with advancements in the field of Generative AI including major publications, important Large Language Models (LLMs), evaluation metrics, technology stacks, and datasets.
• Communicate findings and recommendations to both technical and non-technical stakeholders.

The position involves working effectively with internal partners from different model development groups and other relevant 2nd line risk control functions.

*Job Requirements

• Advanced quantitative and AI skills with post-secondary degree in one or more of the following areas: computer science, machine learning / AI, engineering, statistics, mathematics, etc.
• 4+ years of experience in either developing or validating Generative AI, LLMs, NLP and other Deep Learning models; and 2+ years of experience in leading a small team of machine learning scientists.
• In-depth knowledge of AI methodologies, concepts and theory including Generative AI, Agentic AI, Deep Learning, modern Natural Language Processing (NLP), Retrieval-Augmented Generation (RAG), Transformers, and etc.
• Experience with Deep Learning and Generative AI / Agentic AI technology stacks and libraries such as PyTorch, LangChain, LangGraph, HuggingFace, etc.
• Motivated to stay up to date with the latest advancements in Generative AI, Agentic AI, machine learning, and cloud technologies.
• Proficient in one or more scripting/programming languages such as Python.
• Familiarity with cloud platforms (e.g., Azure, AWS) and big data technologies (e.g., PySpark, Hadoop).
• Familiarity with Data Structures, Algorithm design, and principles of Object-Oriented Programming (OOP).
• Knowledge of machine learning explain-ability/interpretability algorithms.
• Excellent verbal and written communication skills. and stakeholder management abilities (position requires writing and reviewing reports of technical nature).
• Strong critical and analytic thinking skills.
• Excellent time / project management and multitasking skills with minimal supervision.
• Ability to work independently and collaboratively in a fast-paced, dynamic e

Description from TD's public careers feed, reproduced so you can read the role here. Apply on the company's own site; Real Analyst Jobs never submits anything for you.

## How to apply

Open [this role on Real Analyst Jobs](https://realanalystjobs.com/job/senior-applied-machine-learning-scientist-generative-ai-model-validation-ath-548-df6d152a) and use Apply now there to reach the employer's application. The listing is re-checked against TD's careers page daily and removed when it closes.

## TD

54 open analyst roles on Real Analyst Jobs. [More roles at TD](https://realanalystjobs.com/companies/td)

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