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Knowledge Graph AI Scientist for Wealth Advisory

RBC

Toronto

On-site

CAD 90,000 - 120,000

Full time

Today
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Job summary

A leading financial institution in Toronto is seeking an experienced Applied AI Scientist to design knowledge graph architectures and integrate AI capabilities for wealth management. The ideal candidate will have a Master's degree and extensive experience in AI/ML, along with proficiency in Python and graph database technologies. This role includes developing innovative prototypes to enhance client experience and advisor productivity in a dynamic team environment, offering opportunities for professional growth and a strong commitment to a diverse workplace.

Benefits

Comprehensive Total Rewards Program
Flexible work/life balance options
World-class training program

Qualifications

  • 4-8 years of experience in AI/ML/data science.
  • Hands-on experience designing graph data models.
  • Experience building proofs-of-concept and prototypes.

Responsibilities

  • Design and build knowledge graph architectures.
  • Lead projects integrating knowledge graphs with LLMs.
  • Translate business needs into graph-based solutions.

Skills

Knowledge representation
Graph-based reasoning
Data-driven approaches
Communication skills
Python proficiency

Education

Master’s degree in computer science, AI/machine learning, or quantitative field

Tools

Neo4j
Amazon Neptune
Python libraries (NetworkX, PyTorch)
Job description
A leading financial institution in Toronto is seeking an experienced Applied AI Scientist to design knowledge graph architectures and integrate AI capabilities for wealth management. The ideal candidate will have a Master's degree and extensive experience in AI/ML, along with proficiency in Python and graph database technologies. This role includes developing innovative prototypes to enhance client experience and advisor productivity in a dynamic team environment, offering opportunities for professional growth and a strong commitment to a diverse workplace.
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