Join an AI Innovation team in Toronto, ON that is building next-generation machine learning platforms and intelligent automation solutions for a global financial information and analytics organization. This full-time prospect is ideal for an experienced Machine Learning Engineer looking to work with Python, large language models (LLMs), generative AI, agentic systems, cloud platforms, and up-to-date ML frameworks to shape the future of AI-powered decision-making.

This is a rare opportunity to help define the AI strategy and technical foundations of a growing innovation hub. The team is looking for a senior, hands-on ML engineer who thrives in greenfield environments, enjoys tackling complex AI challenges, and wants to influence architecture, engineering standards, and the future direction of AI products. If you're excited by experimentation, continuous learning, technical ownership, and the opportunity to turn cutting-edge AI research into production-ready solutions, this role offers meaningful impact and significant career growth.

Required Skills & Experience
12+ years of experience building production ML/AI systems
Bachelors degree in Machine Learning, Computer Science, Data Science, Applied Mathematics or a related field




Robust proficiency in Python and modern machine learning frameworks
Extensive experience with Gen AI, LLMs. RAG architectures, and model fine-tuning
Experience designing and architecting scalable ML systems from the ground up
Experience with Docker, Kubernetes, AWS and/or Azure
Proven experience mentoring engineers and leading technical initatives through influence and expertise

Desired Skills & Experience
Experience with multi-agent systems, agentic workflows, and AI orchestration platforms
Strong background in MLOps, model serving platforms, and cloud-native ML infrastructure
Experience building greenfield AI products or working in innovation-focused settings

What You Will Be Doing

Tech Breakdown
50% Machine Learning & Generative AI Development
20% ML Architecture % System Design
15% Cloud Infrastructure & MLOps
15% AI research, Experimentation & Innovation

Daily Responsibilities
80% Hands On
20% Team Collaboration

Current Vacancy: Yes

Use of AI in Hiring: No

Applicants must be currently authorized to work in the Canada on a full-time basis now and in the future.

📌 Senior Machine Learning Engineer Toronto
🏢 Motion Recruitment
📍 Toronto