Senior Machine Learning Engineer

• 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.* You have 5+ years' hands-on experience in software development , with a strong background in architecturing, 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.- You have a degree / diploma in Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, or equivalent experience.* 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.* 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).At CIBC, we are in business to help our clients, employees and shareholders achieve what is important to them. Our ability to create value for all CIBC stakeholders is driven by a business culture based on common values : Trust, Teamwork and Accountability.

Working with CIBC makes you a part of a work environment committed to our clients, employees and communities - a place where you can excel.

Every day, our 48,000 employees help our clients achieve their financial goals, because what matters to our clients, matters to us. #J-18808-Ljbffr