SS
ML/AI Engineer; Agentic AI Solutions
S.i. Systems
Toronto · Hybrid Part-time Today
About the role
Position
ML / AI Engineer (Agentic AI Solutions)
About
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
6 Months, to start
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 (Lang Graph)
- Experience working with LLMs and NLP applications
- Proficient in Python, GO, and SQL
- Cloud experience:
- GCP Preferred
- AWS/Azure accepted
Requirements
- Strong 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 working with LLMs and NLP applications
- Proficient in Python, GO, and SQL
- Cloud experience: GCP Preferred, AWS/Azure accepted
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.
Skills
AWSAzureGCPGOLang GraphLLMMachine LearningNLPPythonSQL
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