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BMO is seeking a Machine Learning Developer to join our team in Toronto. This role is ideal for an early-career professional with a strong foundation in Machine Learning, Python development, and AWS cloud technologies who is passionate about building intelligent, scalable solutions that solve real business challenges.

As a Machine Learning Developer, you will contribute to the design, development, testing, and deployment of machine learning applications and cloud-based solutions. You will work with cross-functional teams to translate business requirements into technical solutions, develop production-ready code, and support the end-to-end software development lifecycle.

The successful candidate will have a strong understanding of machine learning algorithms, data structures, software engineering principles, and cloud-native development. Experience developing user-facing applications, serverless functions, and machine learning models through professional experience, internships, university projects, or graduate-level research is highly valued.

Key Responsibilities

• Design, develop, test, and implement machine learning solutions that address business needs.

• Translate user and business requirements into technical specifications and scalable solutions.

• Develop and maintain applications using Python and modern software engineering practices.

• Build, deploy, and support machine learning models in cloud environments, primarily AWS.

• Develop and integrate serverless applications using AWS services such as Lambda, API Gateway, S3, and related cloud technologies.

• Support user interface development and integration with machine learning-powered applications.

• Apply knowledge of machine learning algorithms, model evaluation techniques, feature engineering, and data processing.

• Participate in model deployment, monitoring, troubleshooting, and performance optimization.

• Ensure code and configurations adhere to security, logging, performance, and operational standards.

• Perform root cause analysis, troubleshooting, and ongoing maintenance of applications and services.

• Follow release management processes, version control, and CI/CD practices.

• Evaluate emerging technologies and recommend solutions that improve performance, scalability, and user experience.

• Collaborate with product, engineering, and business teams to deliver high-quality technology solutions.

• Take measured risks while protecting the bank by applying BMO's Risk Management Framework and adhering to all applicable policies, standards, and regulatory requirements.

Technical Skills

Python

• Strong programming ability using Python for application development, data processing, and machine learning implementations.

• Experience with libraries such as Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch, or similar.

AWS Cloud

• Experience developing or deploying solutions within AWS environments.

• Understanding of serverless architectures and services such as AWS Lambda, API Gateway, S3, IAM, CloudWatch, and SageMaker.

Machine Learning

• Strong foundation in supervised and unsupervised learning algorithms.

• Understanding of model training, evaluation, feature engineering, optimization, and deployment best practices.

• Knowledge of AI/ML concepts gained through professional experience, university projects, research initiatives, or graduate studies.

Qualifications

• Approximately 1-3 years of relevant experience, including:

• Professional work experience; and/or

• Relevant co-op placements, internships, university projects, research initiatives, or graduate-level (MBA/Master's) projects focused on machine learning, AI, software engineering, or analytics.

• Post-secondary degree in Computer Science, Software Engineering, Data Science, Mathematics, Engineering, AI, Machine Learning, or a related discipline.

• Strong understanding of machine learning algorithms and statistical modeling concepts.

• Experience developing applications using Python.

• Exposure to AWS cloud technologies and serverless architectures.

• Understanding of software engineering principles, testing methodologies, and the software development lifecycle.

• Experience working with source control tools such as Git.

• Strong analytical, problem-solving, and debugging skills.

• Effective verbal and written communication skills.

Preferred

• Experience with AWS SageMaker or other machine learning deployment platforms.

• Experience building user-facing applications, dashboards, or UI components.

• Experience with APIs, microservices, and cloud-native architectures.

• Familiarity with CI/CD pipelines and MLOps practices.

• Experience working in Agile delivery environments.

• Master's degree or MBA with AI, Analytics, Data Science, or Technology-focused projects.

This role offers an excellent opportunity for a technically curious developer looking to apply machine learning, cloud technologies, and software engineering skills to impactful enterprise-scale solutions within BMO.

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