Machine Learning​/Artificial Intelligence Engineer

Final date to receive applications: 11/29/2025

Address:
320 S Canal Street

Job Family Group:
Data Analytics & Reporting

Please note this role is Hybrid (2 days/week in office)

We are seeking a highly analytical and technically proficient ML/AI Engineer to join our ARC team. This role is ideal for someone with a strong foundation in mathematics, statistics, and programming, and a passion for applying AI to solve complex financial problems. You will work to develop AI/ML/DS features for enterprise-wide AI products, develop models, optimize strategies, and contribute to the evolution of our AI‑powered financial systems.

• 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, Lang Chain).
• 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.
• Develop ML/AI algorithms to analyze huge volumes of historical data to derive insights, make decisions, and form predictions.
• Run tests, perform statistical analysis, and interpret test results.
• Contribute to shaping the digital foundations: (Hypergraph) Scenario Engine and Network based Methods: graph‑based modeling tool that maps relationships between entities and simulates cascading scenarios;
  Chatbots (i.e., Distribution);
  Semantic Engine: AI layer that enables meaning‑based search as opposed to keyword search.
• Conduct large‑scale analysis of information to discover patterns and trends by combining different models and algorithms.
• Get insights from data (descriptive, attribution).
• Perform Topological Data Modeling, Causality, Variable Importance Analysis, Attribution modeling, Regression.

• Master’s or Ph.D. in Mathematics, Statistics, Computer Science, Data Science, Physics, AI, Machine Learning or a related field.
• Experience in model development (ML/data science, AI/GenAI) within financial services or technology sectors.
• Proficiency in Python and SQL, Tensor Flow, PyTorch, XGBoost, scikit‑learn.
• Strong grasp of artificial intelligence and machine learning frameworks and stacks.
• Familiarity with cloud platforms (AWS, Azure, GCP) and CI/CD pipelines is advantageous.
• Intellectual curiosity and adaptability to emerging AI and quant finance trends.
• Strong communication skills to explain complex models to non‑technical stakeholders.
• Ability to work independently and collaboratively in a fast‑paced, multidisciplinary environment.
• Attention to detail and a rigorous approach to model validation and testing.

$88,800.00 – $

Salaried

The above represents BMO Financial Group’s pay range and type.

Salaries will vary based on factors such as location, skills, experience, education, and qualifications for the role, and may include a commission structure. Salaries for part‑time roles will be pro‑rated based on number of hours regularly worked. For commission roles, the salary listed above represents BMO Financial Group’s expected target for the first year in this position.

BMO Financial Group’s total compensation package will vary based on the pay type of the position and may include performance‐based incentives, discretionary bonuses, as well as other perks and rewards. BMO also offers health insurance, tuition reimbursement, accident and life insurance, and retirement savings plans. To view more details of our benefits, please visit:

At BMO we are driven by a shared

Purpose:

Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people. By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around…