AI Engineer

SCC, Canada

BMO

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Application Deadline:

05/29/2025

Address:

4100 Gordon Baker Road

Job Family Group:

Data Analytics & Reporting

This is hybrid role is based out of Toronto that reports into the Senior Technology Officer.  This person will research, build, and implement 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/technology group within BMO; may have broader, enterprise-wide focus.

  • Provides specialized consulting, analytical and technical support.

  • Exercises judgment to identify, diagnose, and solve problems within given rules.

  • Works independently and regularly handles non-routine situations.

  • Broader work or accountabilities may be assigned as needed.

Qualifications

  • Typically between 5 - 7 years of relevant experience and post-secondary degree in related field of study or an equivalent combination of education and experience.

  • Work with the developers to create solutions that meet technical and business requirements

  • Leverage software engineering concepts to build ML and GenAI applications

  • Create evaluation frameworks to determine model accuracy

  • Regularly provide model accuracy reports and write clean maintainable code

  • Design and implement end-to-end highly scalable and resilient cloud engineering solutions for infrastructure and application services using AWS and Azure cloud platforms.

  • Implement CI/CD capabilities for infrastructure and applications

  • Set up and troubleshoot Cloud environments

  • Contribute in the architecting and implementation of cloud-native and cloud migration solutions

  • Write infrastructure automation scripts and templates and integrate with DevOps tools

  • Verbal & written communication skills - In-depth.

  • Collaboration & team skills - In-depth.

  • Analytical and problem-solving skills - In-depth.

  • Influence skills - In-depth.

  • Data driven decision making - In-depth.

  • Highly motivated to learn & research, share knowledge & ideas.    

Salary:

$81,600.00 - $151,200.00

Pay Type:

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: https://jobs.bmo.com/global/en/Total-Rewards

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.

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Tags: AWS Azure CI/CD Consulting Data Analytics Data pipelines Deep Learning DevOps Engineering Generative AI Machine Learning ML models Pipelines Research Statistics Unstructured data

Perks/benefits: Career development Health care

Region: North America
Country: Canada

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