Nous bâtissons une banque axée sur les relations pour un monde moderne. Nous recrutons des professionnels talentueux et passionnés qui ont à cœur de faire ce qu’il faut pour nos clients.
À la Banque CIBC, nous misons sur vos forces et vos ambitions pour vous donner le pouvoir d’agir. Les membres de notre équipe disposent de ce dont ils ont besoin pour apporter une contribution significative et être valorisés, à la fois pour ce qu’ils sont et ce qu’ils font.
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What You will Be Doing
The Enterprise Advanced Analytics and Artificial Intelligence team is the center of AI excellence within CIBC and is leading the way in applying the best practices in artificial intelligence , machine learning and natural language processing, leveraging the latest technology and platforms. We collaborate with the leading academic institutes in the space of AI and machine learning to promote the exchange of ideas and enrich our talent.
Our work covers every aspect of the research life cycle, from partnering with Academia to building production systems. We work with product, technology, and business partners to apply the state of the art in AI to our business.
With your defined practical experience in the domain of Artificial Intelligence, as an AI Scientist, Advanced Analytics and AI you will apply knowledge and experience of advanced modelling to solve challenging business problems and building innovative solutions. You’ll interact with groups across the organization from products, segments, marketing to channels, risk and capital markets. You’ll work with real world structured and unstructured datasets to produce end-to-end solutions, taking models from experiment to deployment.
How You’ll Succeed
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 business units 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.
Who You Are
You have a degree in Artificial Intelligence, Data Science, Computer Science, Software Engineering, Statistics, Mathematics, or a related field.
You can demonstrate 1-2 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 at least one AI toolkit, such as Python, or R. 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
expertise in
Python programming, with proficiency in libraries such as Tensor Flow, PyTorch, and scikit-learn.
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, or Auto Gen. 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…
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