Senior Machine Learning Engineer
Role Overview
Senior AI/ML Engineer individual-contributor role driving strategic implementation of generative AI and machine learning across enterprise platforms.
Architect and deliver production-scale AI solutions for business challenges while addressing banking regulations and responsible AI practices.
Key Skills for This Role
Full Job Posting
Work location
- The listed work location is Toronto, Ontario, Canada.
Pay details
- The posted pay range is $115,600–$163,200 CAD.
- The role is temporarily eligible for a pay premium above the posted range, reassessed annually; specific pay details are available from the recruiter.
Job description
Senior AI/ML Engineer individual-contributor role driving strategic implementation of generative AI and machine learning across enterprise platforms.
Architect and deliver production-scale AI solutions for business challenges while addressing banking regulations and responsible AI practices.
Key accountabilities
- Design end-to-end generative AI solutions using Azure AI and Google AI services.
- Develop and optimize production LLM applications using RAG, prompt engineering, fine-tuning, and multi-agent architectures.
- Implement protections against prompt injection, adversarial attacks, and data poisoning, plus content filtering and safety guardrails.
- Build scalable MLOps and AIOps for model versioning, retraining, monitoring, and explainability, targeting 99.9% availability.
- Partner with business stakeholders to deliver AI/ML proofs of concept and production solutions with measurable ROI.
- Set technical direction across hybrid cloud, assessing small language models, agentic AI, and edge deployment.
- Mentor platform engineers and data scientists in ML techniques, LLMOps, and responsible AI.
- Conduct technical due diligence on AI vendors and tools and recommend strategic investments.
Experience and education
- Bachelor's degree in Computer Science, Machine Learning, Mathematics, or a related technical field.
- Minimum 5+ years of hands-on AI/ML engineering experience, including 3+ years focused on generative AI and LLM applications.
- 5+ years of executive leadership experience in financial services, including influencing C-suite stakeholders and driving strategic technical initiatives.
- Expert Python proficiency, including PyTorch or TensorFlow and LLM orchestration tools such as LangChain or LlamaIndex.
- Hands-on experience with Azure OpenAI Service, Azure ML Studio, Databricks MLflow, and Google Vertex AI.
- Strong understanding of MLOps/LLMOps, ML CI/CD, Terraform, and Docker/Kubernetes.
- Experience with real-time ML inference, Kafka or Pub/Sub streaming, and edge deployment.
- Hands-on experience with multimodal models, computer vision, and advanced NLP beyond standard LLM applications.
About TD
TD describes itself as a global financial institution serving households and businesses in Canada and beyond.
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