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.

Required Skills & Experience

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

Desired Skills & Experience

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

What You Will Be Doing
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

The Offer

Bonus eligible

You Will Receive The Following Benefits

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

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📌 Senior Machine Learning Engineer (Ontario)
🏢 Motion Recruitment
📍 Ontario