ML / AI Engineer (Agentic AI Solutions)
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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:
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.
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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