What you'll be doingAs a Machine Learning Engineer on the AI Infrastructure & ML Ops team, you'll play a key role in advancing our enterprise machine learning platform. You'll design, build, and maintain robust MLOps workflows, automate pipelines for data ingestion, training, validation, and deployment, and ensure our processes are compliant and audit-ready. You'll collaborate closely with developers, technology teams, and product owners to integrate machine learning solutions into production environments, ensuring reproducibility and traceability throughout the ML lifecycle. Your expertise will help drive enhancements across our platform, and you'll actively contribute to a culture of experimentation, continuous improvement, and knowledge sharing. As part of a collaborative and inclusive team, you'll mentor peers and support junior members, helping us stay at the forefront of emerging ML tools and techniques.
At CIBC we enable the work environment most optimal for you to thrive in your role. Details on your work arrangement (proportion of on-site and remote work) will be discussed at the time of your interview.
How you'll succeed- MLOps Pipeline Development - Design, build, test, and enhance machine learning components, CI/CD pipelines, and end-to-end MLOps workflows for data ingestion, training, validation, and deployment.
- Compliance & Monitoring - Implement compliant workflows with approval gates, automated monitoring, alerts, and audit-ready processes to ensure reliability and regulatory alignment.
- Collaboration & Integration - Work closely with data engineers, DevOps, developers, and product owners to seamlessly integrate ML pipelines into production systems and align engineering deliverables with requirements.
- Capability Building - Package models, manage deployment environments, and ensure solutions meet governance policies such as Model Risk Management (MRM) and Compliance.
- Continuous Improvement - Stay current with emerging ML tools and techniques, proactively identify opportunities for improvement, and drive enhancements across the MLOps platform.
- Knowledge Sharing & Mentorship - Participate in code reviews, contribute to team documentation, share best practices, and mentor peers and junior team members.
Who you are- You bring 5+ years of hands-on experience in. Python, CI/CD, Databricks, Azure, MLOps, and have familiarity with Kubernetes, Git, and machine learning frameworks.
- You have a degree/diploma in. Computer Science, Software Engineering, or a related field.
- Your influence makes a difference. You work effectively with cross-functional teams, communicating complex technical concepts clearly to both technical and non-technical stakeholders.
- You know that details matter. You ensure that solutions adhere to governance policies, regulatory requirements, and audit standards.
- You're motivated by collective success. You support team growth by mentoring peers, participating in code reviews, and contributing to team documentation.
- Values matter to you. You bring your real self to work, and you live our values - trust, teamwork, and accountability.
What CIBC OffersAt CIBC, your goals are a priority. We start with your strengths and ambitions as an employee and strive to create opportunities to tap into your potential. We aspire to give you a career, rather than just a paycheck.
- We work to recognize you in meaningful, personalized ways including a competitive salary, incentive pay, banking benefits, a benefits program*, defined benefit pension plan*, an employee share purchase plan, a vacation offering, wellbeing support, and MomentMakers, our social, points-based recognition program.
- Our spaces and technological toolkit will make it simple to bring together great minds to create innovative solutions that make a difference for our clients.
- We cultivate a culture where you can express your ambition through initiatives like Purpose Day; a paid day off dedicated for you to use to invest in your growth and development.
*Subject to plan and program terms and conditions
Job LocationToronto-81 Bay, 16th Floor
Employment TypeRegular
Weekly Hours37.5
SkillsArtificial Intelligence (AI), Artificial Intelligence Algorithms, Artificial Intelligence Technologies, Cloud Applications, Cloud Computing, Cloud DevOps, Cloud Infrastructure, Data Quality, Data Security, Infrastructure As Code (IaC), Infrastructure Engineering, Microsoft Azure Cloud Services
