4100 Gordon Baker Road Toronto Ontario,M1W 3E8

This is a hybrid role loacted in the city of Toronto. Researches, builds, and implements scalable artificial intelligence systems capable of learning and making predictions to business requirements. Enhances data pipelines and lakes to ensure data is clean, accurate, and optimized for machine learning models. Monitors, evaluates, and optimizes learning processes to continuously improve high-performance models. Works with other data and analytics professionals to optimize, refine, automate and scale analysis into repeatable analytics solutions and decision support tools.

• Designs and develops machine learning (ML), deep learning systems and GenAI solutions.
• Runs machine learning tests and experiments. Trains and retrain systems to prevent drift and optimize results.
• Solves complex problems with multi-layered data sets, extends existing ML frameworks and optimizes existing machine learning libraries.
• Develops Machine Learning apps, implements algorithms, and builds tools to apply ML frameworks.
• Turns unstructured data into useful information by auto-tagging images and text-to-speech conversions.
• Develops ML algorithms to analyze huge volumes of historical data to make predictions.
• Runs tests, performs statistical analysis, and interprets test results.
• Focus is primarily on business/group within BMO; may have broader, enterprise-wide focus.
• Exercises judgment to identify, diagnose, and solve problems within given rules.
• Works independently on a range of complex tasks, which may include unique situations.
• Broader work or accountabilities may be assigned as needed.

QUALIFICATIONS:

Foundational level of proficiency:

• Systems Thinking.
• Mathematics, Statistics & Operations Research.
• Critical thinking.
• Creative reasoning.

Intermediate level of proficiency:

• Computational Thinking and Programming.
• Analytical and problem solving skills.
• Deep Learning.
• Hands on experience with multi model LLM’s
• Prompt Engineering
• Machine Learning and algorithm.
• Scaling Models.
• Continuous Integration and Continuous Delivery/Deployment.
• Verbal & written communication skills.
• Collaboration & team skills.
• Data driven decision making.
• Building Gen AI solutions in AWS and Azure Cloud platforms
• Typically between 4 - 6 years of relevant experience and post-secondary degree in related field of study or an equivalent combination of education and experience.
• Technical proficiency gained through education and/or business experience.
• Leverage software engineering concepts to build ML and GenAI applications

ABOUT 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. We’ll 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, we’ll help you gain valuable experience, and broaden your skillset.
To find out more visit us at https://jobs.bmo.com/ca/en
BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives. Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.
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

• Designs and develops machine learning (ML), deep learning systems and GenAI solutions.
• Runs machine learning tests and experiments. Trains and retrain systems to prevent drift and optimize results.
• Solves complex problems with multi-layered data sets, extends existing ML frameworks and optimizes existing machine learning libraries.
• Develops Machine Learning apps, implements algorithms, and builds tools to apply ML frameworks.
• Turns unstructured data into useful information by auto-tagging images and text-to-speech conversions.
• Develops ML algorithms to analyze huge volumes of historical data to make predictions.
• Runs tests, performs statistical analysis, and interprets test results.
• Focus is primarily on business/group within BMO; may have broader, enterprise-wide focus.
• Exercises judgment to identify, diagnose, and solve problems within given rules.
• Works independently on a range of complex tasks, which may include unique situations.
• Broader work or accountabilities may be assigned as needed