Senior Machine Learning Engineer

Motion Recruitment; Toronto; On-site; CAD 140,000 - 190,000; Full time

Benefits offered by this job

Bonus eligible

Medical, Dental, Vision Insurance

Vacation Time

Job summary

Motion Recruitment in Toronto is hiring a Senior ML Engineer to build prod ML/AI systems from a greenfield stack. You will work hands-on with LLMs, multi-agent workflows, and modern MLOps on a major cloud platform.

The role offers opportunity to influence technical direction, ship production-grade solutions, and progress toward Lead/Principal levels on a growing team.

Qualifications

• 7+ years building production ML/AI systems.
• Strong hands-on Python and PyTorch experience.
• Hands-on generative AI with LLMs and retrieval.
• Proven track record shipping ML at scale.
• MLOps, Docker, Kubernetes, and cloud (AWS or Azure).
• Solid software fundamentals and testing.
• Ability to influence technically without direct management.
• Bachelor's in CS, ML, Data Science or related field.

Responsibilities

• Hands-on development across AI/ML production.
• Lead architecture, design and delivery decisions.
• Collaborate with team and mentor others.

Skills

Python

PyTorch

LLMs

MLOps

Docker

Kubernetes

FastAPI

Airflow

Cloud AWS/Azure

Testing/Version control

Education

Bachelor's in CS/ML/Data Science

Tools

Docker

Kubernetes

Airflow

FastAPI

AWS/Azure

PyTorch

Job description

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