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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