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.