Senior Machine Learning Engineer

We’re building a relationship-oriented bank for the modern world. We need talented, passionate professionals who are dedicated to doing what’s right for our clients.

At CIBC, we embrace your strengths and your ambitions, so you are empowered at work. Our team members have what they need to make a meaningful impact and are truly valued for who they are and what they contribute.

To learn more about CIBC, please visit CIBC.com

What you’ll be doing

As a Senior Machine Learning Engineer, you will play a critical role in designing, building, and productionizing scalable machine learning and large language model (LLM) solutions that drive our digital-first, customer-centric marketing vision. You will leverage your software engineering expertise to develop robust ML/LLM pipelines, optimize model performance, and ensure seamless integration into production environments. Working closely with AI scientists, cross functional engineers, and marketing teams, you will enable intelligent, real-time customer engagement across omni-channel platforms.

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

• Develop & Deploy ML/LLM Solutions - Build, optimize, and productionize machine learning and large language model pipelines for marketing applications, ensuring reliability, scalability, and maintainability.

• ML/LLM Ops Implementation - Architect and manage end-to-end ML/LLM Ops workflows, including CI/CD, automated model deployment, monitoring, retraining, and governance.

• Software Engineering Excellence - Apply best practices in software development (version control, testing, code reviews, modular design) to deliver high-quality, robust ML systems.

• Cloud & Big Data Integration - Utilize cloud platforms (Databricks, GCP, AWS) and big data tools (Spark) to process and manage large-scale customer data for model training and inference.

• Model Monitoring & Performance Optimization - Implement tools and frameworks for continuous monitoring, performance evaluation, and automated retraining of ML/LLM models in production.

• Collaboration & Partnership - Work cross-functionally with AI scientists, engineers, and marketing stakeholders to translate business requirements into technical solutions and drive adoption of AI/ML technologies.

• Documentation & Knowledge Sharing - Maintain clear, comprehensive documentation of ML/LLM pipelines, processes, and best practices. Mentor junior engineers and contribute to team knowledge sharing.

Who you are

• You have a degree/diploma in ­­­­­­­­­­­­­­­­­­Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, or equivalent experience.

• You have 5+ years' hands-on experience in software development, with a strong background in building and deploying machine learning solutions, past experience with digital marketing domain is highly preferred. Strong software engineering skills (git, unit testing, code reviews, containerization with Docker/Kubernetes).

• You can demonstrate experience in ​and with proficiency in Python, Spark, modern ML frameworks (PyTorch, Tensorflow, Hugging Face Transformers). It’s an asset if advanced working SQL knowledge with scalable data pipelines.

• You can demonstrate practical experience with scalable cloud systems and cloud ML tools (Databricks, GCP, AWS), preferably with Databricks and experience with ML Ops / LLM Ops practices including CI/CD for ML, automated deployment, and model lifecycle management.

• Familiarity with monitoring tools (e.g., MLflow, Prometheus, Grafana) and model governance frameworks.

• Excellent communication skills, with the ability to translate technical solutions into business impact.

• You're motivated by collective success. You know that teamwork can transform a good idea into a great one. You know that an inclusive team that enjoys working together can bring a vision to life.

• You act like an owner. You thrive when you're empowered to take initiative, go above and beyond, and deliver results.

• Values matter to you. You bring your real self to work and you live our values - trust, teamwork, and accountability.

#LI-TA

What CIBC Offers

At 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

What you need to know

• CIBC is committed to creating an inclusive environment where all team members and clients feel like they belong. We seek applicants with a wide range of abilities and we provide an accessible candidate experience. If you need accommodation, please contact Mailbox.careers-carrieres@cibc.com

• CIBC is committed to clarity in our hiring process. All roles posted are opportunities we’re actively recruiting for, unless stated otherwise.

• You need to be legally eligible to work at the location(s) specified above and, where applicable, must have a valid work or study permit.

• We may ask you to complete an attribute-based assessment and other skills test (such as simulation, coding, French proficiency).

• We use artificial intelligence tools during the recruitment process. Our goal for the application process is to get to know more about you, all that you have to offer, and give you the opportunity to learn more about us.

Job Location

Toronto-81 Bay, 32nd Floor

Employment Type

Regular

Weekly Hours

37.5

Skills

AI Ops, Apache Spark, Apache Spark MLlib, Big Data Technologies, Collaboration, Critical Thinking, Data Manipulation, DevOps, End-to-End Testing, Google Cloud Platform (GCP), Machine Learning (ML), Microsoft Azure Databricks, ML Frameworks, ML Integration, ML Platforms, PL/SQL (Programming Language), Python (Programming Language), Real-Time Data Processing, Real Time Processing, Real Time Streaming, Software Engineering, Spark Streaming