Senior Applied Machine Learning Scientist, Generative AI

Position: Senior Applied Machine Learning Scientist, Generative AI (4047)
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* Work Location:

** Montréal, Quebec, Canada
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* Hours:

** 37.5
** Line of Business:
** Analytics, Insights, & Artificial Intelligence
** Pay Details:**$136,000 - $183,500 CADThe 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  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.
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* Job Description:

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* ****** 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 / Machine Learning (AI/ML) Model Validation (MV) group is responsible for the review/vetting and approval of AI/ML 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/ML 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 of complex AI/ML models, particularly Generative AI, LLMs / NLP and Deep Learning models.
* Validate (review, test/evaluate, and provide effective challenge to the model developers) AI/ML models, particularly Generative AI and Deep Learning models.
* Recommend the approval of models or other corrective actions based on the 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, NLP 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/ML 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, 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…