5 дней назад
Senior AI Scientist, Advanced Analytics & AI
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior AI Scientist, Advanced Analytics & AI (AI/Machine Learning): Developing end-to-end AI solutions for Global Asset Management and Wealth Management using structured and unstructured data, with an accent on machine learning, natural language processing, generative AI, and advanced modelling. Focus on researching business problems, integrating large language models into data applications, deploying scalable models, and building maintainable data products.
Location: Toronto, ON; hybrid arrangement with 2–3 days per week on-site and the remaining days remote. Legally eligible work authorization at the specified location is required; a valid work or study permit may be required.
Company
CIBC is a relationship-oriented bank applying advanced analytics and artificial intelligence across banking, asset management, and wealth management.
What you will do
- Develop AI solutions for complex business challenges using statistics, machine learning, natural language processing, generative AI, and optimization.
- Work with Global Asset Management and Wealth Management to translate business needs and data into actionable insights.
- Own AI solutions end to end, from experimentation and research through deployment into production-ready systems.
- Engineer features and develop data products with data scientists and engineers using structured and unstructured datasets.
- Apply technical thought leadership and mentor junior team members.
Requirements
- 4–5 years of experience in machine learning, natural language processing, natural language understanding, or related AI techniques.
- Hands-on Python experience, including modular non-notebook code, object-oriented programming, design patterns, API development, and scalable software design.
- Experience with TensorFlow, PyTorch, Scikit-learn, SQL or Spark, and Git.
- Strong knowledge of supervised, unsupervised, and reinforcement learning, model selection, training, evaluation, and statistical analysis.
- Experience with generative models such as GANs, VAEs, and transformers, plus prompt engineering and large language model integration.
- Degree in artificial intelligence, data science, computer science, software engineering, statistics, mathematics, or a related field.
Nice to have
- Experience with Azure and Databricks for deploying and scaling AI models.
- Familiarity with Docker, Kubernetes, and AI lifecycle management tools.
Culture & Benefits
- Hybrid work environment with flexibility to manage work activities.
- Competitive salary, incentive pay, banking benefits, and a benefits program.
- Defined benefit pension plan, employee share purchase plan, vacation, and wellbeing support.
- Professional development opportunities and a paid Purpose Day.
- Inclusive workplace focused on trust, teamwork, accountability, and collaboration.
Hiring process
- Applications may include an attribute-based assessment and skills tests such as simulation, coding, or French proficiency testing.
- Artificial intelligence tools may be used during recruitment.
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