$150000 - $200000 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.

Motion Recruitment

Partners (MRP) is an Equal Chance Employer. All applicants must be currently authorized to work in the country for which they are applying, and no sponsorship is currently available. Employment is subject to the successful completion of a pre-employment screening. Accommodation will be provided in all parts of the hiring process as required under MRP's Employment Accommodation policy. Applicants need to make their needs known in advance.

📌 Machine Learning Engineer- Cloud Deployment (Remote) (Toronto)
🏢 Kelly Services
📍 Toronto