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Lead Machine Learning Engineer

Bank of Montreal
Lead Machine Learning Engineer
Ontario, CA
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Job Description

Application Deadline:



VIRTUAL(R)59 - HomeRes - ON - BMO

Job Family Group:

Data Analytics & Reporting

** The Team **

We enable and accelerate our partners on their data science and AI journeys across the Enterprise. Accelerating our teams across BMO on their path to value at scale. We help each other in times of need, and we are proud of our work. We are data practitioners, visionaries, thought leaders, multipliers, coders, and much more. Above all, we are a global team of diverse folks who enjoy working together to create smart solutions which have an impact across the enterprise.

We work on a diverse set of problems for diverse groups across the enterprise using state-of-the-art techniques in Computer Vision, NLP, Data Science and AI based on the relevancy and need of the business problem.

Being an enterprise data science team, you will always have opportunities to learn and solve interesting problems in different domains, including, Cyber Security, Capital Markets, Personal and Business Banking, Commercial Banking, Wealth Management, Financial Crime, Enterprise Risk, Legal/Audit Compliance, AIOps, HR Analytics, ESG Investing/Analysis and Climate Analytics.

Our Ambition is bold. It is built around putting both our capital and resources to the highest and most profitable use, with a “digital first” operating model, fuelled by data-driven decisions.

Join the Enterprise Data Science and AI team within BMO as we accelerate our path to value with:

  • Actionable insights anchored on managed Data and frictionless Analytics capabilities

  • A mindset that extends a solid core and provides a flexible edge

  • Acceleration of commercial value within a responsible framework

Our team enables the strategic priorities of the bank, by providing progressive data capabilities, coupled with advanced analytical methods to accelerate value generation from actionable insights while operating within the bank’s full risk appetite.

**The Impact **

Lead Machine Learning Engineer, Enterprise Data Science & AI is a hands-on technical leadership role. You will play a critical role in leading and defining BMO's MLOps 2.0 vision to be platform agnostic and cloud-native with best-in-class capabilities to run our ML/AI models in production at scale. You will get the opportunity to drive and support the productionization of business-focused ML/AI use cases which impact millions of BMO clients and BMO’s internal systems.

You will lead and develop solutions and capabilities for building a digitally enabled, future-ready bank with leading efficiency, profitability, and loyalty

  • all powered by a winning culture.

**What We are Looking For **

  • Strong coder, integrator, and forward thinker

  • In-depth knowledge of the MLOps as well as hands-on expertise in how to implement scalable solutions into production environments.

  • Experience designing and developing scalable machine learning framework that enables data scientists/AI researchers to efficiently train and deploy their models on AWS and other environments.

  • Experience with developing and maintaining Feature Libraries.

  • Experience using Docker and related technologies (e.g., docker-compose, AWS EKS, AWS ECS, AWS Fargate, Kubernetes, etc.)

  • Experience with different Big Data Technologies (e.g., PySpark, HIVE, AWS EMR, AWS GLUE, etc.)

  • Experience with workflow orchestration tools (e.g., AirFlow, AWS Step Functions, etc.)

  • Experience with different CI/CD tooling and methods including GitHub Actions.

  • Experience building data pipelines on AWS or other environments.

  • Good understanding of different ML/AI algorithms and model drift monitoring.

  • Experience programming in Python, SQL and shell script using software design principles.

**Minimum Qualifications **

  • Bachelor’s / master's degree / Ph.D. in Computer Science, Mathematics, Physics, Engineering, Statistics, or other quantitative disciplines and/or equivalent experience.

  • Minimum professional experience of 5 years, with at least 3 years MLOps experience.

Note: The candidate can work fully remotely from anywhere in Canada or USA as long as the candidate is available for core working hours per Eastern Standard time (EST).

We’re here to help

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

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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