GenAI Lead & Data Scientist (PhD) - In-House AI Architect

Prospect 33

Toronto

On-site

CAD 120,000 - 160,000

Full time

14 days+
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Benefits offered by this job

True ownership and impact
Direct collaboration with financial institutions
Culture of technical excellence
Opportunity to shape GenAI strategy

Job summary

A technology-driven firm is seeking a Gen AI Lead / Data Scientist (PhD) to lead AI architecture and initiatives for leading global financial institutions. The role includes end-to-end delivery of Generative AI systems and mentoring engineers. Required qualifications include a PhD in a related field, expertise in Python, SQL, and a strong foundation in machine learning. This position offers true ownership and the chance to impact the firm’s GenAI strategy.

Qualifications

  • PhD in Computer Science, Machine Learning, AI, or closely related field.
  • Strong foundation in statistical modeling and applied AI system design.
  • Deep understanding of algorithms and data structures.

Responsibilities

  • Lead design and production of next-gen Generative AI systems.
  • Architect end-to-end AI/ML pipelines from data to model.
  • Drive advanced GenAI initiatives including LLM-based systems.

Skills

Expert-level proficiency in Python
SQL
PySpark
ML frameworks

Education

PhD in Computer Science or related field

Tools

Databricks
Kubernetes
Terraform

Job description

A technology-driven firm is seeking a Gen AI Lead / Data Scientist (PhD) to lead AI architecture and initiatives for leading global financial institutions. The role includes end-to-end delivery of Generative AI systems and mentoring engineers. Required qualifications include a PhD in a related field, expertise in Python, SQL, and a strong foundation in machine learning. This position offers true ownership and the chance to impact the firm’s GenAI strategy.
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