Senior Applied Machine Learning Scientist, Generative AI (4047)

Work Location: Montréal Quebec Canada

Hours: 37.5

Line of Business: Analytics Insights & Artificial Intelligence

Pay Details:

$136000 - $183500 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 candidates 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.

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

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 Banks 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 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 / ML 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 / ML methodologies, concepts and theory including Generative AI, Deep Learning, modern Natural Language Processing (NLP), Retrieval‑Augmented Generation (RAG), Transformers, Diffusion models and etc.

Experience with Deep Learning and Generative AI technology stacks and libraries such as PyTorch, PromptFlow, LangChain, HuggingFace, etc.

Motivated to stay up to date with the latest advancements in Generative 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 environment.

Preferred Qualifications

Publications in the relevant conference and journals and research in GenAI / LLM field is a plus.

Ability to implement AI / ML algorithms from academic research papers is a plus.

Who We Are TD is one of the worlds leading global financial institutions and is the fifth largest bank in North America by branches / stores. Every day we deliver legendary customer experiences to over 27 million households and businesses in Canada the United States and around the world. More than 95000 TD colleagues bring their skills talent and creativity to the Bank those we serve and the economies we support. We are guided by our vision to Be the Better Bank and our purpose to enrich the lives of our customers communities and colleagues.

Our Total Rewards Package Our Total Rewards package reflects the investments we make in our colleagues to help them and their families achieve their financial physical and mental well‑being goals. Total Rewards at TD includes a base salary, variable compensation and several other key plans such as health and well‑being benefits, savings and retirement programs, paid time off, banking benefits and discounts, career development and reward and recognition programs. Learn more.

Additional Information Please be advised that this job opportunity is subject to provincial regulation for employment purposes. It is imperative to acknowledge that each province or territory within the jurisdiction of Canada may have its own set of regulations requirements.

Colleague Development If you’re interested in a specific career path or are looking to build certain skills we want to help you succeed. You’ll have regular career development and performance conversations with your manager as well as access to an online learning platform and a variety of mentoring programs to help you unlock future opportunities. Whether you have a passion for helping customers and want to expand your experience or you want to coach and inspire your colleagues there are many different career paths within our organization at TD and we’re committed to helping you identify opportunities that support your goals.

Training & Onboarding We will provide training and onboarding sessions to ensure that you’ve got everything you need to succeed in your new role.

Interview Process We’ll reach out to candidates of interest to schedule an interview. We do our best to communicate outcomes to all applicants by email or phone call.

Accommodation Your accessibility is important to us. Please let us know if you’d like accommodations (including accessible meeting rooms, captioning for virtual interviews, etc.) to help us remove barriers so that you can participate throughout the interview process.

Employment Type Full‑Time

Experience: years

Vacancy: 1

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