Machine Learning Engineer with Agentic AI Expertise
6 days ago
Winnipeg, Manitoba, Canada
S.I. Systems Ltd.
Full-time
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Join Canada’s largest retailer as a Machine Learning Engineer specializing in building AI-driven solutions. Dive into developing production-ready ML models and agentic frameworks.
Our client is seeking a Machine Learning Engineer who excels in creating end-to-end machine learning solutions to enable data insights and optimize digital advertisements. The ideal candidate should have strong experience in building and deploying models in production, with a focus on NLP and LLM applications. Collaborating closely with engineering teams, you will contribute to expanding capabilities of an alpha-stage AI product.
Key Responsibilities: • Design AI solutions for analytics and advertising initiatives • Develop agentic AI systems for autonomous data analysis • Build, train, and deploy ML models in production • Create NLP applications for insights and decision support • Communicate progress with stakeholders effectively
Requirements: • Proven experience in deploying ML models end-to-end • Background in building AI Agents or Agentic frameworks • Knowledge of Langfuse for model evaluation • Proficient in Python, GO, and SQL • GCP cloud experience preferred
Ideal candidates will leverage their ML skills in a rewarding environment, focusing on innovative AI projects.
Our client is seeking a Machine Learning Engineer who excels in creating end-to-end machine learning solutions to enable data insights and optimize digital advertisements. The ideal candidate should have strong experience in building and deploying models in production, with a focus on NLP and LLM applications. Collaborating closely with engineering teams, you will contribute to expanding capabilities of an alpha-stage AI product.
Key Responsibilities: • Design AI solutions for analytics and advertising initiatives • Develop agentic AI systems for autonomous data analysis • Build, train, and deploy ML models in production • Create NLP applications for insights and decision support • Communicate progress with stakeholders effectively
Requirements: • Proven experience in deploying ML models end-to-end • Background in building AI Agents or Agentic frameworks • Knowledge of Langfuse for model evaluation • Proficient in Python, GO, and SQL • GCP cloud experience preferred
Ideal candidates will leverage their ML skills in a rewarding environment, focusing on innovative AI projects.