Senior ML Engineer building production ML, RAG, and agentic AI capabilities for SailPoint’s cloud identity security platform. Driving scalable, customer - focused AI solutions from research to production.
About the role
- Applied Machine Learning Scientist rotating across TD’s Analytics Insights & AI team. Building machine learning solutions, analyzing data, and improving banking decisions and processes.
Responsibilities
- Participate in TD’s 18-month rotational associate program across the Analytics Insights & AI team
- Apply advanced machine learning methods to conduct data-driven research
- Identify opportunities and make tangible recommendations to senior management
- Collaborate with business partners to optimize processes and support informed decision-making
- Build innovative machine learning solutions
- Prepare structured and unstructured datasets through integration, cleaning, feature engineering, scaling, and transformation
- Build production-scale solutions and work with deployment teams to integrate them into business operations
- Use visualization methods to represent results and communicate outcomes to technical and non-technical audiences
- Work on initiatives that improve decisions, processes, systems, and applications supporting TD’s businesses
Requirements
- Must have graduated or be graduating between May 2025 and May 2027
- Graduate degree in Mathematics, Statistics, Computer Science, Engineering, Data Analytics, or a related field
- Strong statistical and analytical skills and passion for analytics
- Experience analyzing large data sets, drawing insights and inferences, and communicating outputs
- Experience in one or more of Big Data, programming, data/text mining, optimization, algorithm development, automation, data visualization, or simulation
- Experience in one or more of machine learning, predictive analytics, regression, logit modeling, model development, discrete choice, propensity modeling, natural language processing, or generative AI
- Experience in one or more of software engineering, code quality, version control, or object-oriented programming
- Strong technical knowledge and experience with one or more of Python, R, Spark, SQL, SAS, Java, or C/C++
- Technical knowledge or experience with cloud environments, data management, and project management is a plus
- Strong leadership qualities, initiative, prioritization, communication, analytical, and problem-solving skills
- Ability to participate as part of a team with targeted deliverables
- Ability to remain current with emerging trends and technologies in Data Science
- Must reside in Canada, the country where the role is located
- Applications must include a transcript, cover letter of one letter-sized page or less, and a resume of maximum two pages
Benefits
- 18-month rotational program with two nine-month rotations
- Coaching and mentorship from business leaders and the Early Talent Experience team
- Leadership talks, lunch and learns, self-development workshops
- TD-sponsored conferences
- Socials, team challenges, and volunteer opportunities
- Career coaching
- Community of support and cohort programming
- Health and well-being benefits
- Savings and retirement programs
- Paid time off
- Banking benefits and discounts
- Career development, training programs, mentoring programs, and online learning platform
- Reward and recognition programs
- Training and onboarding sessions
- Accessibility accommodations during recruitment/interviews
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