Senior Artificial Intelligence Machine Learning Engineer

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This is a Hybrid role (2 days/week in office)

Role Overview

We are seeking a highly analytical and technically proficient Senior 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 todevelop models optimize strategies and contribute to the evolution of our AI-powered financial systems.

What will you do:

• 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) andAI 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.
• Run tests perform statistical analysis and interpret test results
• Develops prediction systems and machine learning algorithms.
• Research and evaluate additional technologies and tools for developing innovative data solutions for business stakeholders i.e. What if analysis (forecasting next-best-step)Domain Adaptation and Transfer forecasting Temporal Convolutional Networks long-term short-term pricing models Autoregressive Models.

What you need to succeed:

• Masters 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.
• 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.
• 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.

Salary:

Pay Type:

The above represents BMO Financial Groups 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 Groups expected target for the first year in this position.

BMO Financial Groups 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: Us

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 the world.

As a member of the BMO team you are valued respected and heard and you have more ways to grow and make an impact. We strive to help you make an impact from day one for yourself and our customers. Well support you with the tools and resources you need to reach new milestones as you help our customers reach theirs. From in-depth training and coaching to manager support and network-building opportunities well help you gain valuable experience and broaden your skillset.

To find out more visit us at is proud to be an equal employment opportunity employer. We evaluate applicants without regard to race religion color national origin sex (including pregnancy childbirth or related medical conditions) sexual orientation gender identity gender expression transgender status sexual stereotypes age status as a protected veteran status as an individual with a disability or any other legally protected characteristics. We also consider applicants with criminal histories consistent with applicable federal state and local law.

BMO is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process please send an e-mail to and let us know the nature of your request and your contact information.

Note to Recruiters: BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO directly or indirectly will be considered BMO property. BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid written and fully executed agency agreement contract for service to submit resumes.