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Added 1 month ago
Manager, Data Science (Askuity division)
The Home Depot Canada
Toronto, ON
Full-time
Lead and mentor a team of data scientists in developing AI-powered solutions, including Generative AI (GenAI), for Fusion.
Added 10 days ago
Agentic AI Optimization Developer
Equifax
Toronto, ON · CAN - Ontario - Toronto
Full-time
Advanced Debugging & Automation: Strong background in writing automated test scripts (Python-heavy) and using tracing/observability concepts to debug cascading errors in asynchronous,…
Added 10 days ago
Agentic AI Developer
Equifax
Toronto, ON · CAN - Ontario - Toronto
Full-time
…human intervention. We are seeking a highly skilled Agentic AI Developer to be the core engineer constructing our next-generation AI…
Added 12 days ago
Senior Software Engineer
Guidewire Software
Mississauga, ON · Toronto, ON
Full-time
Your work will directly support PDO’s mission to embed GenAI across our products and improve operational excellence, contributing to Guidewire’s broader goal of transforming how the world’s…
Added 1 month ago
AI/ML Engineer
TC Transcontinental
Mississauga, ON
Full-time
Added 1 month ago
IT Manager
Stellar Creative Lab
Vancouver, BC
Full-time
…Leading the charge with innovations like Slingshot AI (bridging GenAI with production pipelines), we build the future of animation…
Added 1 month ago
Senior Platform Engineer
AutoTrader.ca
Toronto, ON
Full-time
…centralized Kubernetes, managed CI/CD, project templates, and the developer tooling that runs on top of AWS. Our customers are developers. We live "you build it, you run it" and we invest…
Added 1 month ago
Data Scientist I
Groupe Dynamite, Inc Garage
Mont-Royal, QC · Ville Mont-Royal, Quebec
Full-time
In this role you will be part of a self managed team responsible for building and driving forward our core demand forecasting, recommendation engines and GenAI solutions.
Added 18 days ago
GenAI Delivery Architect
Capgemini
Mississauga, ON
We are seeking a hands-on GenAI Delivery Architect to design, build, and lead the delivery of enterprise-grade AI Agent solutions. The ideal candidate should have strong experience in…
Added 19 days ago
Senior GenAI Engineer/Lead
Capgemini
Montreal, QC
We are seeking a GenAI & AI/ML Framework Specialist to design, build, and scale next-generation artificial intelligence solutions.
Added 2 months ago
Senior Generative AI Software Engineer
Apertera (formerly Alexa Translations)
Toronto, ON
Full-time
…and translation-related service engine, using Generative AI (GenAI) and Large Language Model (LLM) technologies. You will be working in an R&D Team which reports to the VP of AI Innovation…
Added 2 months ago
Senior Generative AI Software Engineer
Apertera (formerly Alexa Translations)
Montreal, QC
Full-time
…and translation-related service engine, using Generative AI (GenAI) and Large Language Model (LLM) technologies. You will be working in an R&D Team which reports to the VP of AI Innovation…
Added 1 month ago
Senior Manager Data Engineering
BMO
Toronto, ON · SCC
Full-time
Hands on experience in one or more of SQL, NoSQL, Python, Spark, Scala, code optimization, debugging
Added 1 month ago
Senior Solutions Principal
Dell Technologies
Toronto, ON
Full-time
…development, prompt engineering) and tools/languages such as Python, Spark, notebooks, and ML frameworks (e.g., scikit-learn, MLflow, TensorFlow/PyTorch, LangChain, LlamaIndex at a…
Added 2 months ago
AI-DNA Project Manager
IgniteTech
Canada
Full-time
…down. If you're a PMP-certified PM who's already integrating GenAI into your daily workflow, this could be the next step in your…
Added 2 months ago
Sr. Regression Tester with AI Exp
Synechron
Toronto, ON
$110,000 to $120,000 CAD / year
Full-time
…functionality of our banking applications. Your expertise in AI, GenAI, Java, Playwright, Selenium, and Javascript will be essential in creating robust test frameworks and ensuring seamless…
Added 1 month ago
Credit Risk Modelling Senior Associate (Bilingual FR/EN)
PwC
Montreal, QC
Full-time
…challenge and proposed business solution on the topics such as GenAI, cloud, climate risk modeling…
Added 1 month ago
Data Scientist
Meridian Credit Union
Toronto, ON
Full-time
Develop GenAI and LLM models. Get direction from and technical guidance from more senior members of the team
Added 2 months ago
Applied AI, Forward Deployed Machine Learning Engineer
Mistral
Montreal, Quebec
Full-time
Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems - across high-stakes…
Added 2 months ago
Applied AI, Technical Lead, Forward Deployed AI Engineer
Mistral
Montreal, Quebec
Full-time
Mistral provides full-stack AI solutions: from frontier models to developer tools, applications, and compute. We partner with enterprises tackling the hardest problems - across high-stakes…
Added 1 month ago
Lead AI Engineer
Tiger Analytics Inc.
Remote, Canada
Remote
AI/ML: GenAI, LLMs, Agentic AI, Multi-Agent Systems, RAG, Prompt Engineering, AI Guardrails, MLOps.
Added 1 month ago
Applied Machine Learning Scientist II (ATH # 5215)
TD
Toronto, ON · Montreal, QC
Full-time
Conduct R&D in the area of GenAI / Agentic AI / LLM evaluation, testing, explainability.
Added 19 days ago
Senior Software Developer, Manufacturing Data Solutions (Python/SQL)
Sonova AG
Kitchener, ON
As a Senior Software Developer, you will apply your expertise to deliver reliable and scalable data-oriented solutions in a collaborative global environment.
Added 13 days ago
Staff Software Engineer, AI Agentic Experience (Auth0)
Okta
Toronto, ON
…role is pivotal in extending and complementing our Auth for GenAI offering by building the infrastructure, tooling, and developer experiences that empower both human developers and AI…
Added 1 month ago
Senior Platform Engineer
AutoTrader.ca
Toronto, ON
…centralized Kubernetes, managed CI/CD, project templates, and the developer tooling that runs on top of AWS. Our customers are developers. We live "you build it, you run it" and we invest…

Applied Machine Learning Scientist II (ATH # 5215)

Toronto, ON, Canada
Montreal, QC, Canada

Pay: $125,500 - $154,000 CADThe pay details posted reflect a temporary market premium specific to this role that is reassessed annually.
Job type: Full-time
Apply by: Sep 30, 2026
Education: Master’s degree
Posting language: English
Posted: Aug 4, 2026

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Original job description

Work Location:

Toronto, Ontario, Canada

Hours:

37.5

Line of Business:

Analytics, Insights, & Artificial Intelligence

Pay Details:

$125,500 - $154,000 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 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

TD Model Validation (MV) group is responsible for the independent validation and approval of models used for Agentic AI, Generative AI, Natural Language Processing (NLP), credit, fraud, and marketing models. The Artificial Intelligence/Machine Learning (AI/ML) MV team is responsible for the validation of all AI/ML models used across the Bank for various use cases.

*Job Description

The position reports to Senior Applied Machine Learning Scientist (Generative AI), in the AI/ML Model Validation team and is primarily focused on the validation and review of Generative AI and Deep Learning models.

Detailed accountabilities include:

Validate (review, test, and provide effective challenge) AI/ML models, particularly Generative AI and Deep Learning models.

Conduct R&D in the area of GenAI / Agentic AI / LLM evaluation, testing, explainability.

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.

Maintain full professional knowledge of techniques and developments in the field of AI/ML and share knowledge with business partners and senior management.

Develop/implement AI/ML model validation methodologies and standards. Ensure that the validation methodologies and standards are in line with industry best practices and address regulatory and audit requirements.

Develop and apply a variety of statistical tests and modeling techniques to identify/recommend improvements to models and undertake related initiatives. Implement benchmark models as applicable.

Communicate findings and recommendations to both technical and non-technical stakeholders.

The position involves working effectively with different internal partners such as AI2, Layer6, P&T, and FCRM.

*Job Requirements

Strong quantitative skills with an advanced degree in one or more of the following areas: computer science, machine learning, engineering, statistics, mathematics, or physics.

Proven experience as Generative AI Scientist, Machine Leaning Scientist, or a similar role.

Ability to work independently and collaboratively in a fast-paced, dynamic environment. Great time management and multitasking skills with minimal supervision.

Experience with and strong knowledge of AI/ML methodologies including Generative AI, Agentic AI, Deep Learning, modern Natural Language Processing (NLP), Retrieval-Augmented Generation (RAG), Transformers, Diffusion models

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

Motivated to stay up to date with the latest advancements in Generative AI, Prompt Engineering, Machine Learning, and Cloud technologies.

Proficient in scripting/programming language - Python.

Familiarity with cloud platforms (e.g., Azure, AWS).

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. The position requires writing clean technical reports.

* Nice to have qualifications

Publications in the relevant conference and journals is a plus.

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

Knowledge of SQL and database systems.

Who We Are:

TD is one of the world's leading global financial institutions and is the fifth largest bank in North America by branches/stores. Every day, we strive to make every interaction, product, and experience remarkably human and refreshingly simple for over 27 million households and businesses in Canada, the United States and around the world. More than 95,000 TD colleagues bring their skills, talent, and creativity to foster deeper relationships, ensure disciplined execution, and build a simpler, faster banking experience. TD is deeply committed to being a leader in client experience, that is why we believe that all colleagues, no matter where they work, are client facing. Together, we are reimagining what banking can be for our clients, colleagues and communities.

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:
We’re delighted that you’re considering building a career with TD. Through regular development conversations, training programs, and a competitive benefits plan, we’re committed to providing the support our colleagues need to thrive both at work and at home.

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.

If you’re passionate about helping clients and building deep, lasting relationships, TD offers diverse career paths where you can grow your expertise and make a meaningful impact.

We're committed to your success and foster a respectful workplace where diverse perspectives are valued, everyone has fair opportunities to grow, and you can unlock your full potential to achieve your career goals. Here at TD, we hire and develop the best.

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.

We look forward to hearing from you!

Language Requirement (Quebec only):

Ce poste n’exige pas la maîtrise d’une langue autre que le français.

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More about this job

Responsibilities

The role involves validating and testing Generative AI and Deep Learning models to ensure they meet regulatory and industry standards. You will conduct research into AI evaluation metrics and communicate findings to both technical and non-technical stakeholders.

Requirements

Candidates must possess an advanced degree in a quantitative field such as computer science, statistics, or mathematics. Proven experience in Generative AI or Machine Learning, along with proficiency in Python and deep learning frameworks, is required.

Skills

Generative AI
Deep Learning
Machine Learning
Python
Natural Language Processing
Large Language Models
PyTorch
LangChain
HuggingFace
PromptFlow
Retrieval-Augmented Generation
Transformers
Diffusion models
Statistical testing
Model validation
Explainability

Benefits

Health and well-being benefits
Savings and retirement programs
Paid time off
Banking benefits and discounts
Career development
Reward and recognition programs

Visa sponsorship

Not detected in the job text

Keywords

Generative AI
Machine Learning
Deep Learning
Natural Language Processing
Large Language Models
Python
PyTorch
LangChain
HuggingFace
PromptFlow
Retrieval-Augmented Generation
Transformers
Diffusion models
Model Validation
Statistical Analysis
Cloud Computing
Azure
AWS
SQL
Data Structures
Algorithm Design
Object-Oriented Programming
Explainability
Interpretability
Agentic AI
Prompt Engineering
Banking
Finance
Risk Management
Regulatory Compliance

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