Machine Learning Associate (Toronto)

Machine Learning Associate (Toronto)

26 Sep
|
Vector Institute
|
Toronto

26 Sep

Vector Institute

Toronto

The Vector Institute is seeking Machine Learning Associates (MLAs) to join the FastLane MLA Program. In this role, MLAs will be matched with Canadian small- and medium-sized enterprises (SMEs) to work on applied projects focused on Generative AI and Agentic AI. Working in teams of two to three individuals, MLAs will design, develop, and deliver proof-of-concept AI solutions that address real-world business challenges. This position may be remote, hybrid, or onsite, and offered in either full time (36.25 hours/week) or part-time (20 hours/week) formats. Specific work arrangements will be discussed during the interview based on company requirements and MLA availability. MLAs will receive technical mentorship and structured support from Vector’s Technical Advisors and Project Specialists throughout the project cycle. Start date: January 18, 2027 End date: May 7, 2027 FASTLANE MLA PROGRAM AT VECTOR The FastLane MLA Program is a four-month, cohort-based initiative led by the Vector Institute and designed to support the career growth of early-stage AI professionals while accelerating AI adoption in Canada’s small- and medium-sized enterprises (SMEs).



The program connects graduate-level AI talent with innovative companies to deliver applied AI solutions that create real business value. KEY RESPONSIBILITIES Understand Business Case Work with a company and MLAs to frame the AI problem based on business needs; Research and design effective AI solutions aligned with the company’s business goals, data readiness, and infrastructure constraints; and, Break down complex problems into minimal milestones and a project plan that ensures value delivery within the project timeline. Develop Proof-of-Concept (POC) Pre-process data to meet the quality and format needs of the AI model or pipeline; Develop, test, and evaluate models and pipelines to deliver robust, scalable AI solutions; Deploy AIsolutions on company-provided infrastructure, such as GCP, AWS, or Azure; Refine and optimize an AI solution through iterative experimentation; and, Rapidly design, develop, and deliver AI solutions tailored to the company’s use case. Deliver Business Value Engage in regular touchpoints with Vector and the company to align with business needs; Utilize learning sessions and office hours to

📌 Machine Learning Associate (Toronto)
🏢 Vector Institute
📍 Toronto

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