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Senior Machine Learning Engineer, GFT
RBC
Toronto, CAN
Full-time
Senior
Onsite
Discovered 2 weeks ago
Machine learning engineeringGenerative AILarge language modelsRetrieval-augmented generationAgentic AI workflowsPython
Free
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Machine learning engineeringGenerative AILarge language models
Role Overview
RBC is seeking an experienced Senior Machine Learning Engineer to build production-grade GenAI applications and proof-of-concepts across business lines.
The role develops LLM-based solutions, RAG systems, agentic workflows, and production ML infrastructure for enterprise use cases.
The position supports medium- to high-complexity initiatives in a cross-functional environment.
Key Skills for This Role
Machine learning engineeringGenerative AILarge language modelsRetrieval-augmented generationAgentic AI workflowsPython
Full Job Posting
Opportunity Overview
RBC is seeking an experienced Senior Machine Learning Engineer to build production-grade GenAI applications and proof-of-concepts across business lines.
The role develops LLM-based solutions, RAG systems, agentic workflows, and production ML infrastructure for enterprise use cases.
The position supports medium- to high-complexity initiatives in a cross-functional environment.
Responsibilities
- Develop and productionize advanced GenAI solutions with measurable business impact and tangible return on investment.
- Optimize and deploy ML models and AI agents using modern frameworks and scalable engineering practices.
- Perform prompt engineering, model evaluation, A/B testing, and production performance optimization.
- Build data pipelines, model-serving endpoints, monitoring systems, and automated deployment workflows.
- Implement RAG systems with vector databases, semantic search, and knowledge retrieval.
- Develop agentic workflows with multi-step reasoning, tool use, and orchestration.
- Translate business requirements into technical specifications and working solutions.
- Write maintainable code using engineering best practices, testing, code reviews, and version control.
- Evaluate emerging technologies and contribute to technical designs and architecture decisions.
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