Senior AI Scientist, Advanced Analytics & AI

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  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

The Enterprise Advanced Analytics and Artificial Intelligence team is CIBC's centre of AI excellence, leading the way in applying best practices across artificial intelligence (AI), machine learning (ML), and natural language processing (NLP) using the latest technology and platforms. We collaborate with leading academic institutions to promote the exchange of ideas, enrich our talent, and support every stage of the research life cycle;

from academic partnerships to production-ready systems. We work closely with product, technology, and business partners to bring state-of-the-art AI solutions to life across the organization. As a member of our team, you'll apply your expertise in advanced modelling to solve complex business challenges and develop innovative solutions. You'll focus on projects within Global Asset Management (GAM) and Wealth Management (WM), working with real-world structured and unstructured datasets.

From experimentation to deployment, you'll own end-to-end solutions that drive meaningful impact for our clients and business. At CIBC we enable the work environment most optimal for you to thrive in your role you'll have the flexibility to manage your work activities within a hybrid work arrangement where you'll spend 2-3 days per week on-site, while other days will be remote.

• Artificial Intelligence Expertise
  - Provide AI solutions to solve business problem leveraging statistics, machine learning, natural language processing, GenAI, and optimization techniques.
• Ability to conduct self-directed research, typically using non-traditional resources to solve business problems.
• Analytical Partner
  - You will work with GAM and Wealth Management to understand their needs, opportunities and pain points. Translate data to insights and inform decision making. Focus on relationship building and become the trusted analytical partner.
• Intellectual Curiosity and Continuous Improvement
  - Maintain a strong desire to enhance our AI/ML techniques and approaches. Collaborate with data experts to understand data and engineer relevant features. Work effectively with fellow data scientists and engineers to develop data products. Mentor junior team members and offer technical thought leadership.

You can demonstrate 4-5 years of experience in machine learning, natural language processing (NLP), natural language understanding (NLU), and/or other AI techniques with Tensor Flow, PyTorch, Scikit-learn, etc. You have extensive hands-on experience with Python. Proficient in writing SQL/ Spark scripts, developing robust and efficient modular Python code in a non-notebook environment, creating APIs, and working with Git version control tools.

You have a strong understanding of machine learning algorithms, including supervised, unsupervised, and reinforcement learning, as well as model selection, training, and evaluation. Experience with prompt engineering and integrating large language models (LLMs) into data applications, using frameworks like Lang Chain, Lang Graph, Semantic Kernel etc. Solid grasp of statistical concepts, including probability distributions, hypothesis testing, and regression analysis, to interpret data patterns and evaluate model performance.

Proficiency with Git for version control, team collaboration, and ensuring code reproducibility. Ability to write clean, maintainable, and scalable code, applying object-oriented programming principles and software design patterns. You know that details matter and have hands-on experience with generative models such as GANs, VAEs, and transformers, and their practical applications. Experience with Azure and Databricks for deploying and scaling AI models would be an asset.

Familiarity with containerization…