Location
toronto, on, Canada
Posted
May 28, 2026
Job Description
Work arrangement Hybrid - In office 2-3 days per week
Possibility of extension Depending on performance
Conversion to FTE Depending on performance
Number of Positions 1
Schedule Hours 9 am-5 pm Monday-Friday (No overtime).
Reason Extra support
Typical Day in Role
Determine the right tool for the job—balancing the precision of deterministic AI with the flexibility of RAG and AI models.
Gather and clean relevant data sets for training and fine-tuning Large Language Models (LLMs), and building Retrieval Augmented Generation (RAG) systems.
Ensure data quality, consistency, and compliance with regulatory requirements.
Develop and fine-tune specialized Large Language Models (LLMs) and advanced Natural Language Understanding (NLU) techniques for diverse banking use cases, including complex information extraction, multi-turn dialogue management, and financial text summarization.
Design, develop, ...
Possibility of extension Depending on performance
Conversion to FTE Depending on performance
Number of Positions 1
Schedule Hours 9 am-5 pm Monday-Friday (No overtime).
Reason Extra support
Typical Day in Role
Determine the right tool for the job—balancing the precision of deterministic AI with the flexibility of RAG and AI models.
Gather and clean relevant data sets for training and fine-tuning Large Language Models (LLMs), and building Retrieval Augmented Generation (RAG) systems.
Ensure data quality, consistency, and compliance with regulatory requirements.
Develop and fine-tune specialized Large Language Models (LLMs) and advanced Natural Language Understanding (NLU) techniques for diverse banking use cases, including complex information extraction, multi-turn dialogue management, and financial text summarization.
Design, develop, ...