AI

The project intends to create AI agents for the financial services and insurance, transportation & logistics and public sector verticals. This will allow us to expand the reach and adoption of AI and GenAI at the Enterprise by adding ML capabilities as part of the intelligent automation solutions we build.
The candidate will be responsible for performing requirements discovery, exploratory data analysis, model development and model deployment.
The approaches to be utilized will range from statistical modelling, time series, Natural Language Processing, Computer Vision to LLMs, depending on the specific requirements of the solution.

Required Skills :Masters or PhD students in Computing Science, Mathematics, Physics, Engineering or related fields, focusing on Data Science would be the preferred profile. Experience in development of machine learning solutions, including NLP, Computer Vision, Generative AI, Time Series and knowledge of Python. Experience with cloud environments, like Microsoft Azure, Amazon AWS or Google GCP and the associated ML/AI suites. Knowledge of Vector Databases, Retrieval Augmented Generation and Large Language Models is an asset.

Faculty Supervisor:

Irene Cheng;Norah McRae

Student:

Partner:

Bits In Glass Inc.

Discipline:

Computer science

Sector:

Professional, scientific and technical services

University:

University of Alberta; University of Waterloo

Program: