Data Engineer, Generative Artificial Intelligence

at  BMO Financial Group

33 Dundas Street West Toronto Ontario,M5G 3C2
Take your career to a new level by joining the Data and Analytics Centre of Excellence (DACoE), whose mission is to drive top-tier growth, profit, and customer experience in North American Personal & Business Banking through data and analytics. We transform information into insight, arm partners with facts, and drive the business forward.
You will collaborate closely within cross-functional team to bring current high-profile Generative AI initiatives to production. You will work with technology, business, and operations teams in this role, driving and executing on automation improvement opportunities to expand our capabilities around making our data value chain processes more efficient.
You will oversee the development of methods, practices, policies, tools and processes to collect, store, access and use data securely, efficiently, and cost-effectively. Supports the full lifecycle of data assets. Assures the quality of data collection, including the adequacy, accuracy and legitimacy of the data. Identifies ways to manage data across a diverse but unified data tier. Plans and supports the implementation of cloud data management platforms and tools, policies and procedures giving the organization control of business data, both in cloud applications and hybrid cloud/ on-premise set-ups. Manages data integration applying relevant data governance and management practices.

What We’re Looking For:

• Knowledge in at least four of: GitHub, FastAPI, Algorithms/Algorithm design, NLP, Machine Learning, Data Mining, Docker, Linux, Process Engineering, HuggingFace, Kubernetes, Cloud DevOps
• Strong solution design. Able to receive a problem statement, assess and analyze for scope, and create a robust application
• Proven track record as a high-performing practitioner and strong executor, particularly in content-related domain
• Strong communication skills. This includes translating technical details into concepts for non-technical audiences
• Strong problem-solving skills. Able to quickly identify and understand issues and drive towards effective resolution
• Bachelor’s degree or equivalent experience required; advanced degree preferred

Advanced level of proficiency:

• Data architecture design and modeling.
• Cloud computing architecture.
• Data security.
• Machine learning.
• Computational thinking and programming.
• Deep learning.
• Decision making.
• Critical thinking.
• Data integration.
• Data warehousing.
• Enterprise data management.
• Data mining.
• Big data.
• Streaming / Real time.
• Verbal & written communication skills.
• Analytical and problem solving skills.
• Collaboration & team skills; with a focus on cross-group collaboration.
• Able to manage ambiguity.
• Data driven decision making.
• Typically 5+ years of relevant experience and post-secondary degree in related field of study or an equivalent combination of education and experience.
• Seasoned professional with a combination of education, experience, and industry knowledge.

Please refer the Job description for details