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About the Role

We are seeking a motivated Applied Machine Learning Scientist I to join our TDI AI/ML team, focusing on Generative AI, LLM-based and agentic solutions, with opportunities in predictive machine learning. You will contribute to the end-to-end AI and machine learning lifecycle, collaborating with various partners to deliver measurable business impact.

Responsibilities

Contribute to the development, deployment, and maintenance of Generative AI and predictive machine learning solutions.
Support the evaluation, implementation, testing, monitoring, and ongoing lifecycle management of AI/ML solutions.
Assist in assessing vendor-provided and out-of-the-box AI models.
Help translate business problems into analytical frameworks and collaborate on success metrics and solution approaches.
Contribute to model evaluation, documentation, A/B testing, validation, and monitoring.
Communicate technical results clearly to stakeholders and contribute to recommendations.

Requirements

Excellent written and verbal communication skills.
Comfortable collaborating with business partners and stakeholders.
Ability to build positive working relationships across business, technology, risk, and governance functions.
Ability to translate complex technical concepts into clear business language.
Creative, out-of-the-box thinker with strong conceptual and problem-solving skills.
Motivated to constantly identify innovative ways to enhance analytical solutions and AI implementation practices.
Ability to investigate drivers of model performance variation and identify potential concerns with guidance.
Interest in evaluating AI solutions considering business value, performance, and governance requirements.
Proficiency in Python and modern machine learning frameworks and tools.
Practical experience developing or evaluating machine learning or Generative AI solutions.
Understanding of model evaluation methodologies, experimentation, statistical testing, and performance monitoring.
Familiarity with structured and unstructured data, feature engineering, and model interpretability techniques.
Exposure to LLMs, agentic AI systems, and practical Generative AI applications.
Familiarity with agent orchestration frameworks such as LangGraph.
Understanding of stateful, multi-step agent workflows.
Exposure to integrating LLM applications with APIs, retrieval-augmented generation pipelines, vector stores, or external tools.
Familiarity with production practices for Generative AI systems.
Familiarity with model governance, Responsible AI principles, model validation, or model risk management practices is an asset.
Experience with SQL, Azure Cloud, Azure ML Services, or Databricks is an asset.

Skills

Generative AI
LLM-based solutions
Agentic solutions
Predictive machine learning
Python
Machine learning frameworks
Model evaluation
Experimentation
Statistical testing
Performance monitoring
Structured data
Unstructured data
Feature engineering
Model interpretability
LLMs
Agentic AI systems
LangGraph
API integration
Retrieval-augmented generation
Vector stores
Prompt versioning
Workflow versioning
Automated evaluation
Tracing
Observability
Guardrails
Retry strategies
Fallback strategies
Latency considerations
Cost considerations
Model governance
Responsible AI principles
Model validation
Model risk management
SQL
Azure Cloud
Azure ML Services
Databricks

Location

Toronto, Ontario, Canada

Work Type

Full-time

Experience Level

1–3 years of relevant experience in machine learning, advanced analytics, data science, model evaluation, or related fields.
Relevant internships, research, co-op placements, and substantial academic or personal projects may be considered.

Education Level

Undergraduate degree in Science, Technology, Engineering, Mathematics, Economics, Finance, or a related quantitative discipline.
Graduate degree is considered an asset.

Salary/Compensations

$105,500 - $125,000 CAD

Benefits

Growth opportunities and skill development
Health and well-being benefits
Savings and retirement programs
Paid time off
Banking benefits and discounts
Career development
Reward and recognition programs
Training programs
Competitive benefits plan
Online learning platform
Mentoring programs

About the Company

TD is one of the world's leading global financial institutions and is the fifth largest bank in North America by branches/stores.
We strive to make every interaction, product, and experience remarkably human and refreshingly simple for over 27 million households and businesses.
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.
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.

Equal Opportunity

TD is committed to providing fair and equitable compensation opportunities to all colleagues.
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.
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.