CIBC

Senior AI Scientist, Advanced Analytics & AI

CIBC$110K — $130K *
Finance & Insurance
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 4-5 years of experience in AI techniques including ML, NLP, and NLU.
  • Extensive hands-on experience with Python and SQL/Spark scripting.
  • Strong understanding of machine learning algorithms and statistical concepts.
  • Experience with generative models like GANs and practical applications.
  • Degree in AI, Data Science, Computer Science, or related field.

Responsibilities

  • Develop AI solutions using ML, NLP, and optimization techniques to solve business problems.
  • Collaborate with Global Asset Management and Wealth Management to identify and address their needs.
  • Translate complex data into actionable insights for decision-making.
  • Enhance AI/ML techniques in partnership with data experts and engineers.
  • Mentor junior team members and provide technical leadership.

Benefits

  • Competitive salary and performance-based incentive pay.
  • Banking benefits and a comprehensive benefits program.
  • Defined benefit pension plan and employee share purchase plan.
  • Generous vacation offering and wellbeing support.
  • Paid day off dedicated to personal growth and development.
Full Job Description

What you'll be doing

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 beremote.

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-directedresearch, typically using non-traditionalresources 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 onrelationship 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 can demonstrate 4-5 years of experience in machine learning, natural language processing (NLP), natural language understanding (NLU), and/or other AI techniques with TensorFlow, 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 LangChain, LangGraph, 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 technologies like Docker and Kubernetes for large-scale deployment and management of AI applications is also desirable. Knowledge of AI lifecycle management concepts and related tools would be considered an additional advantage.
  • You have a degree in Artificial Intelligence, Data Science, Computer Science, Software Engineering, Statistics, Mathematics, or a related field.
  • Your influence makes a difference. Driven by collective success, recognizing that collaboration can transform a good idea into a great one. Understands the power of an inclusive team that enjoys working together to bring a shared vision to life.
  • 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

Job Location

Toronto-81 Bay, 21st Floor

Employment Type

Regular

Weekly Hours

37.5

Skills

Big Data Technologies, Critical Thinking, Data Analysis, Data Manipulation, Data Visualization, Machine Learning (ML), PL/SQL (Programming Language), Python (Programming Language), R Programming, Statistical Analysis

About CIBC

The Canadian Imperial Bank of Commerce is a Canadian multinational banking and financial services corporation headquartered in Toronto, Ontario. The bank is headquartered at Commerce Court in the city's Financial District. CIBC's Institution Number is 010, and its SWIFT code is CIBCCATT. It is one of two Big Five banks founded in Toronto, the other being the Toronto-Dominion Bank. The Canadian Imperial Bank of Commerce was formed through the June 1, 1961, merger of the Canadian Bank of Commerce and the Imperial Bank of Canada, the largest merger between chartered banks in Canadian history. The bank has four strategic business units: Canadian Personal and Business Banking, Canadian Commercial Banking and Wealth Management, U.S. Commercial Banking and Wealth Management, and Capital Markets. It has international operations in the United States, the Caribbean, Asia, and United Kingdom; Globally. CIBC serves more than eleven million clients, and has over 40,000 employees. The company ranks at number 172 on the Forbes Global 2000 listing.
Learn more about CIBC
Market Cap
$43.5 billion
Industry
Founded
1867
5 Year Trend
+8.8%

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