Senior Machine Learning Engineer

We are building out an AI team in Toronto and are hiring Senior Machine Learning Engineers. This is a build-from-scratch effort on a modern stack, focused on putting AI into production rather than keeping it in the lab. You will work hands-on with LLMs, agentic and multi-agent systems, retrieval-based architectures, and current MLOps practices on a major cloud platform.

This is an early-stage seat on a team that is just forming, so there is real room to influence how things get built and to set technical direction rather than inherit it. They want a hands-on senior engineer who prefers to stay technical rather than move into people management, someone who has shipped ML/AI systems that real users depend on and enjoys working through open-ended problems.

You get the independence to make real technical calls, the right resources behind you, strong visibility and a clear path toward Lead or Principal level.

• 7+ years building production ML/AI systems
• Strong hands-on Python and modern ML frameworks (PyTorch)
• Hands-on generative AI experience: LLMs, retrieval-based architectures, agentic workflows
• Track record of taking ML systems from prototype to production at scale
• Production ML engineering: MLOps, containerization (Docker, Kubernetes), cloud (AWS or Azure), workflow orchestration (Airflow), API development (FastAPI)
• Solid software fundamentals: automated testing, version control, scalable architecture
• Comfort leading through technical influence and mentorship rather than direct management
• Bachelor's in CS, Machine Learning, Data Science, Applied Math, or related field

• Master's or PhD
• Multi-agent or agentic systems built beyond basic LLM integrations
• Advanced MLOps and cloud-native ML infrastructure at scale
• Experience with unstructured data
• Open source contributions, talks, or published work
• Early-stage or 0-to-1 team experience

Tech Breakdown

• 40% Generative AI and Agentic Systems (LLMs, retrieval, multi-agent)
• 30% Production ML Engineering and MLOps
• 30% Architecture and System Design

Daily Responsibilities

• 80% Hands On
• 20% Team Collaboration

• Bonus eligible

• Medical, Dental, and Vision Insurance
• Vacation Time

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.

Posted By:
Seif Tadros