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 2026 (extension into 2027)

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 (LangGraph)

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.

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 2026 (extension into 2027)

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:

Strong experience

building end-to-end Machine Learning solutions , and

deploying ML models into production

environments

Experience

building AI Agents or Agentic frameworks (LangGraph)

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.

Disclaimer: AI may be used in evaluating candidates. This posting is for an existing vacancy.

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