Our client is Canada's largest retailer.

They are looking for a ML / AI Engineer to build machine learning and agentic AI solutions that enable teams to derive insights from data and optimize digital advertising campaigns.

The ideal candidate is a machine learning generalist who has experience developing, training, and deploying ML models into production environments.

Duration: Until Dec (extension into ) Location: Toronto - 1 day/week onsite Responsibilities: Design and build machine learning and AI-driven solutions to support analytics and advertising initiatives.

Develop agentic AI capabilities that allow systems to query and analyze business data autonomously.

Build, train, and deploy machine learning models in production environments.

Develop NLP and LLM-based applications for data insights and decision support.





Work closely with engineering managers and cross-functional teams to define technical deliverables.

Provide regular progress updates and maintain strong communication with stakeholders.

Contribute to expanding features and capabilities for an existing alpha-stage AI product.

Must Haves: Robust experience building end-to-end Machine Learning solutions , and deploying ML models into production environments Experience building AI Agents or Agentic frameworks (Lang

Graph) Experience with Langfuse for LLM observability, tracing, and evaluation Experience working with LLMs and NLP applications Proficient in Python, GO, and SQL Cloud experience: GCP Preferred , AWS/Azure accepted Preferred: Experience with scaled reasoning model development.

📌 ML / AI Engineer (Agentic AI Solutions) (Toronto)
🏢 S.i. Systems
📍 Toronto