Vice President, Lead AI/ML Data Scientist Greater Toronto, Canada Area
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About the Role
Greater Toronto, Canada Area (Hybrid)(Mississauga, Canada)
The Company is seeking a Lead AI/ML Data Scientist to join their dynamic team. The successful candidate will be at the forefront of shaping the next generation of AI and machine learning capabilities, with a focus on enterprise-scale reconciliation across global processing hubs. This role is pivotal in driving the full lifecycle of ML model development, from design and deployment to real-world adoption, with a significant impact on capital markets operations, risk, and finance. Responsibilities include the design, building, and deployment of AI and ML models, leading the end-to-end ML model development process, and analyzing large volumes of financial data to uncover optimization opportunities. The role also involves defining and delivering ML model roadmaps, translating complex data findings into strategic recommendations, and ensuring seamless model integration with a focus on long-term scalability and performance. Candidates for this role at the company should have a minimum of 6 years of hands-on experience in AI/ML development and big data engineering, with a strong technical background in Python, R, and SQL. Expertise in a wide range of ML algorithms and experience in building and deploying AI solutions is essential. The ideal candidate will have a passion for staying current with emerging AI/ML frameworks and a proven track record of working with real-time streaming data frameworks. A Bachelor's or Master's degree in a relevant field is required, and experience with advanced statistical modeling, NLP techniques, and ML deployment tools is highly beneficial. The company values diversity and is looking for innovators who are problem solvers and can bring their authentic selves to work.
Functions:
- Data Management/Analytics
About the Company
Renowned commercial investment banking company with an international reach
Industry
Financial Services
Type
Public Company (C)
Age
employees
10,001+
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