Applied Machine Learning Scientist II

Applied Machine Learning Scientist II page is loaded## Applied Machine Learning Scientist IIremote type:
Hybrid locations:
Toronto, Ontario time type:
Full time posted on:
Posted 8 Days Agotime left to apply:
End Date:
February 13, 2026 (27 days left to apply) job requisition :
R 1457633
*
* Work Location:

** Toronto, Ontario, Canada
*
* Hours:

** 37.5
** Line of Business:
** Analytics, Insights, & Artificial Intelligence
** Pay Details:
** 91, CADTD is committed to providing fair and equitable compensation opportunities to all colleagues. Growth opportunities and skill development are defining features of the colleague experience  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:

**** About the Role
** We are looking for a seasoned AI Engineer II to take ownership of high-impact AI and agentic AI initiatives across enterprise authentication and fraud-prevention domains. You will architect and lead the implementation of large-scale intelligent systems—spanning multi-agent workflows, LLM orchestration, retrieval-augmented generation, and end-to-end automation pipelines—while ensuring compliance with AI governance, risk controls, and enterprise standards.
** Key Responsibilities
*** Lead the architecture, development, and deployment of production-grade AI and agentic AI systems.
* Design scalable multi-agent pipelines integrating LLMs, RAG components, graph/vector databases, and microservice infrastructure.
* Partner with data science, product, and fraud strategy teams to translate business objectives into AI-driven solutions.
* Own observability frameworks for model drift, bias detection, latency, and throughput monitoring.
* Build automation and orchestration frameworks that reduce manual workloads and enable adaptive AI responses.
* Mentor junior engineers and data scientists on best practices in ML architecture, code quality, and scalable deployment.
* Ensure adherence to responsible AI guidelines, security standards, and data privacy requirements.
* Lead POCs for emerging AI tech (vendor LLMs, agentic platforms, fine-tuning pipelines) and evaluate enterprise adoption potential.
** Qualifications
* ** Master’s or PhD in Computer Science, Engineering, Applied Mathematics, or related field.
* 5–8 years of AI or ML engineering experience with a proven track record of building and scaling AI systems in production.
* Deep expertise in Python and ML frameworks (PyTorch, Tensor Flow, Hugging Face).
* Demonstrated experience deploying LLMs, RAG pipelines, and multi-agent orchestration at scale.
* Strong understanding of cloud infrastructure (Azure, Databricks, Kubernetes, Docker, MLflow).
* Proficiency in data engineering (Spark, SQL), APIs, and microservice architecture.
* Excellent system-design skills and ability to evaluate trade-offs between performance, cost, and compliance.
* Strong communication and mentoring skills, comfortable presenting technical concepts to executives and cross-functional teams.
** Preferred
* ** Experience in financial services, fraud prevention, identity proofing, or risk analytics.
* Knowledge of AI governance standards and model validation best practices in regulated environments.
* Hands-on experience integrating third-party AI platforms (OpenAI Enterprise, Anthropic Claude, Azure OpenAI, etc.).
*
* 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 deliver legendary customer experiences to 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 the Bank, those we serve, and the economies we support.

We are…