One that embraces diversity of thought, expertise and experience. We are a purpose-driven, dynamic and sustainable pension plan. Join us to accelerate your growth & development, prioritize wellness, build connections, and support the communities where we live and work.

Know someone at OMERS or Oxford Properties? If you're referred, have them submit your name through Workday first. The AI Delivery and Innovation team is seeking a fourth-year undergrad looking to jumpstart their career as an AI/Machine Learning Engineer.

Our team helps create paved roads for the development of high-quality, secure and well-governed AI solutions by providing effective machine learning platforms & tooling. The co-op student must demonstrate their ability to build and evaluate machine learning solutions, showing proficiency in Python, SQL and applied ML concepts, by completing a technical challenge we will provide. The student should come in with a foundational grasp of machine learning concepts and solid Python skills, built through coursework or personal projects, and a genuine curiosity about how models move from a notebook into a real production system.

Explore, clean, and prepare data, working hands-on with SQL and structured datasets Build and evaluate machine learning models across a range of techniques, with guidance on experiment design Work on Generative AI use cases, such as prompting and retrieval-based methods, under supervision Document your work and share findings in a way that's clear to both technical and non-technical audiences Currently a fourth-year undergrad in Computer Science, Engineering, Math, Data Science, or a related program Demonstrate knowledge of core machine learning concepts: supervised and unsupervised learning, model evaluation, feature engineering Proficient in Python and its data stack (NumPy, pandas, scikit-learn),



with a solid grasp of data structures, algorithms, and object-oriented programming Valuable understanding of database concepts and able to write SQL to work with structured data Coursework or project exposure to large language models and generative AI (prompting, embeddings, RAG basics) Must be interested in taking models beyond the notebook and building the components that put them into production Hands-on experience with LLM tooling such as Hugging Face, LangChain, or vector databases CI/CD pipelines, containerization, automated testing, or data pipelines Able to use cloud-native data and ML services (Azure, AWS, or GCP) Project management aptitude and proficiency with tools like Azure DevOps The expected salary range for this position is $50,700.00 - $70,200.00 per year, prorated based on the term of the contract. You may also be eligible to receive an annual Incentive Award pursuant to our Short-term Incentive plan and our Long-Term Incentive plan (if applicable), and to participate in our group benefits and retirement plans – details on these elements of compensation are included within OMERS & Oxford offer letters. As one of Canada’s largest defined benefit pension plans, our people-first culture is at its best when our workforce reflects the communities where we live and work — and the members we proudly serve.

From hire to retire, we are an equal opportunity employer committed to an inclusive, barrier-free recruitment and selection process that extends all the way through your employee experience. This sense of belonging and connection is cultivated up, down and across our global organization thanks to our vast network of Employee Resource Groups with executive leader sponsorship, our Purpose@Work committee and employee recognition programs. We are passionate about inclusion and advocate for I&D; across our network of employees, members and partners

📌 Student, AI/ML Engineer (Winter 2027, 8 Months) (Toronto)
🏢 OMERS / Oxford Properties Group
📍 Toronto