This is a hybrid (on-site 3 days/week) role based in Montreal, Quebec.
Role and Responsibilities
- Independently work on end-to-end development of Machine Learning and Natural Language Processing models to derive insights from research publications, legal documents, regulatory requirements etc.
- Technical analysis and software development.
- Design and implement business solution in agile squads.
- Engage in Machine Learning project, which includes problem definition, Data Engineering, Machine Learning design and documentation for the model risk management and running all the needed ML tests to ensure reliability.
- Develop, maintain, and track detailed delivery plans.
- Strong Data analysis, processing, discovery skills.
Qualifications
- Master’s in mathematics, Statistics, Economics, Data Science, Machine Learning, Operational Research, Physics, and other related quantitative fields.
- At least 4 years of experience with design and implementation of machine learning, predictive analysis, data science, knowledge bases, recommendation systems, information retrieval.
- Strong understanding of the foundational concepts and applied experience in Machine Learning and model explain ability (ideally, a combination of excellent academic research and high-impact commercial projects).
- In depth understanding of common Machine Learning algorithms (e.g., for classification, regression, and clustering).
- Experience with LLM models and Open AI.
- In depth knowledge of advanced statistical theories, methodologies, and inference tools.
- Proven track record in some of the advanced topics such as Bayesian inference, hierarchical models, deep learning, Gaussian processes, and causal inference.
- Practical experience in preparing data for Machine Learning integrating with big-data platforms and high-performance computing ecosystems.
- Strong oral and written communication skills.
- Strong analytical and problem-solving skills.
Preferred Qualifications
- Modelling using vendor products such as: Microsoft AI Builder (Power Platform) and CO Pilot.
- Familiar with Azure and AWS framework
- Experience with non-English Natural Language Processing.
- ML Libraries H2O, Keras, Tensorflow
- Experience with Deep Learning
- Banking / Financial Services experience is a plus.
