Work Location:Toronto, Ontario, Canada
Hours:37.5
Line of Business:Analytics, Insights, & Artificial Intelligence
Pay Details:125,500 - 154,000 CAD
Job Description:Job Description:We're looking for a highly motivated and experienced Applied Machine Learning Scientist II to join our TDI AI/ML team. This role is primarily focused on Generative AI, including LLM-based and agentic solutions, while also offering opportunities to work on predictive machine learning use cases. You'll take ownership across the end-to-end AI and machine learning lifecycle, including solution design, model development, evaluation, testing, validation, deployment, monitoring, and continuous improvement. You'll work closely with business, technology, risk, governance, and implementation partners to shape solution direction, influence decisions, and bring AI capabilities to life with measurable business impact.
This role offers an excellent opportunity to combine hands-on machine learning expertise with broader responsibilities related to AI solution assessment, vendor model evaluation, implementation, and governance. You will be expected to work with multiple business partners to advance the use of AI and Machine Learning at TDI while supporting the responsible adoption of both internally developed and third-party AI solutions.
KEY ACCOUNTABILITIES- Develop, deploy, and maintain Generative AI and predictive machine learning solutions for use cases such as customer and employee assistance, claims and underwriting support, operational automation, and risk assessment.
- Lead the evaluation, implementation, testing, monitoring, and ongoing lifecycle management of both internally developed and third-party AI/ML solutions.
- Assess vendor-provided and out-of-the-box AI models, including their capabilities, limitations, performance characteristics, implementation considerations, and governance implications.
- Translate business problems into analytical frameworks and collaborate with cross-functional teams to define success metrics, testing methodologies, and solution approaches.
- Conduct rigorous model evaluation, documentation, A/B testing, validation support, and monitoring to ensure model performance, fairness, stability, and compliance with Responsible AI principles.
- Communicate complex technical results to technical and non-technical stakeholders and provide actionable recommendations regarding model performance, implementation, and risk.
JOB REQUIREMENTSCommunication & Relationship Skills- Excellent written and verbal communication skills.
- Comfortable and effective when interacting with a wide range of business partners and stakeholders.
- Ability to develop and maintain strong internal relationships across business, technology, risk, and governance functions.
- Ability to translate complex technical concepts and analytical findings into clear business language.
Strategic Thinking & Judgment- 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.
- Capable of quickly identifying drivers of model performance variation, implementation risks, and monitoring concerns.
- Ability to evaluate internally developed and vendor-provided AI solutions while balancing business value, performance, and governance requirements.
Technical Competencies- Proficiency in Python and modern machine learning frameworks and tools.
- Experience developing, evaluating, and deploying machine learning and Generative AI solutions.
- Strong understanding of model evaluation methodologies, experimentation, statistical testing, and performance monitoring.
- Experience with structured and unstructured data, feature engineering, and model interpretability techniques.
- Exposure to LLMs, agentic AI systems, and practical Generative AI applications.
- Hands-on experience with agent orchestration frameworks such as LangGraph
- Ability to design stateful, multi-step agent workflows that combine deterministic logic with LLM-driven reasoning, tool calling, conditional routing, memory, and human-in-the-loop controls.
- Experience integrating LLM applications with enterprise APIs, retrieval-augmented generation pipelines, vector stores, structured outputs, and external tools or data sources.
- Knowledge of production engineering practices for Generative AI systems, including prompt and workflow versioning, automated evaluation, tracing, observability, guardrails, retry and fallback strategies, and latency and cost optimization.
- Familiarity with model governance, Responsible AI principles, model validation, and model risk management practices.
- Experience with SQL, Azure Cloud, Azure ML Services, or Databricks is an asset.
Education & Experience- Undergraduate degree in Science, Technology, Engineering, Mathematics, Economics, Finance, or a related quantitative discipline.
- Graduate degree is considered an asset.
- 5+ years of relevant experience in machine learning, advanced analytics, data science, model evaluation, or related fields.
Our Total Rewards PackageOur 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.
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 & OnboardingWe 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):Maîtrise d'une langue autre que le français pour offrir du soutien ou traiter avec des employés ou des collègues qui ont besoin de services et de soutien dans une langue autre que le français.
