BMO Financial Group is seeking a Senior ML/AI Engineer to develop AI/ML/DS features for enterprise-wide AI products, optimize strategies, and contribute to the evolution of AI-powered financial systems by solving complex financial problems.
Requirements
- Proficiency in Python and SQL, TensorFlow, PyTorch, XGBoost, Scikit-learn
- Strong grasp of Artificial Intelligence and Machine Learning frameworks and stacks.
- Strong conceptual grasp and applied experience using Hypergraph Scenario Engine and Network based Methods (graph-based modeling tool that maps relationships between entities and simulates cascading scenarios).
- Exposure to Quant Machine Learning tailored to quantitative finance, driving more accurate forecasting, risk modeling, pricing, and portfolio optimization, Chatbots (i.e., Distribution).
- Familiarity with cloud platforms (AWS, Azure, GCP) and CI/CD pipelines is advantageous
- Intellectual curiosity and adaptability to emerging AI and quant finance trends.
- Attention to detail and a rigorous approach to model validation and testing.
Responsibilities
- Design and develop machine learning models (Supervised, Unsupervised, and Reinforcement Learning), AI (Generative Models and Agent Orchestration) models, and Deep Learning models (e.g., Neural Networks and autoencoders).
- Run Machine Learning tests and experiments.
- Train and retrain systems to prevent drift and optimize results.
- Solve complex problems with multi-layered data sets, extend existing ML frameworks (Scikit-Learn, XGBoost, Tensorflow) and AI frameworks (Keras, LangChain).
- Leverage and develop advanced analytics models (network based, forecasting, rules-based), implement said algorithms, and build tools to apply them.
- Turn structured, semi-structured and unstructured data into useful information
- Lead development of ML/AI algorithms to analyze huge volumes of historical data to derive insights, make decisions, and form predictions.
Other
- Master’s or Ph.D. in Mathematics, Statistics, Computer Science, Data Science, Physics, AI, Machine Learning or a related field.
- Leadership experience driving initiatives related to AI/GenAI/ML assets.
- Experience in model development (ML/ Data Science, AI/GenAI) within financial services or technology sectors.
- Strong communication skills to explain complex models to non-technical stakeholders.
- Ability to work independently and collaboratively in a fast-paced, multidisciplinary environment.
