Data Scientist II role at TD analyzing digital data to enhance customer experience. Collaborating with cross - functional teams to deliver data - driven insights and improve digital performance.
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Principal / Senior Data Scientist (GenAI / Agentic AI)
Posted via LinkedIn Recruiter (not a company profile)
Posted 3 days ago
About the role
- Lead GenAI/Agentic AI initiatives in Toronto. Build and scale production ML systems with LLMs, AWS, and modern MLOps.
Responsibilities
- Lead the design, development, and deployment of GenAI and ML solutions across key product areas. Build and scale agentic AI systems (e.g., LangChain, AutoGen, similar frameworks). Architect cloud-native ML systems using AWS and modern MLOps practices. Deploy and serve models via APIs for real-time and batch use cases. Partner with product and engineering teams to drive data-driven innovation. Establish best practices in model monitoring, evaluation, and governance. Mentor and influence technical direction across teams.
Requirements
- 8–10+ years in Data Science / Machine Learning / Applied AI. Hands-on experience with GenAI / LLMs in production (non-negotiable). Strong experience building agent-based AI systems. Proven experience with AWS cloud environment. Expertise in Python, SQL, and ML frameworks (TensorFlow, PyTorch, etc.). Experience with model deployment (APIs, MLOps, CI/CD). Background in product / SaaS environments.
Benefits
- Competitive base salary (~$200K) + bonus. Full benefits from Day 1. Learning & development support + wellness perks.
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