Why this role stands out
This hybrid role offers a unique opportunity to shape the future of AI within a global financial organization, working with cutting-edge technologies like LLMs and generative AI to drive innovation. You'll thrive here if you're a hands-on, experienced ML engineer eager to influence architecture, mentor teams, and contribute to impactful, greenfield projects with significant career growth potential. Apply now to leverage your expertise and make a real impact in a dynamic, forward-thinking environment.
Quick overview
Job description
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
- Strong 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 environments
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.
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