Do you have experience with microservices and APIs?
Are you passionate about big data?
Are you fascinated by the theories underlying deep learning and machine learning?
Would you like to take part in the Bank's highly strategic IT initiatives?
National Bank of Canada is making AI a strategic priority so that it can offer a distinctive client experience, value-added services, and improved operational efficiency.
Our IT systems must evolve and adapt to support the Bank's ambitions.
Develop high-performance data ingestion mechanisms to feed machine learning applications integrated into live business processes
Make an important contribution to the analysis, design, and implementation of business performance approaches by developing tailor-
made solutions and ensuring a positive impact and sustainable results
Work with the Software Engineering Lead, data sourcing management teams and the DevOps evangelization team to provide coaching on AI development best practices
Take part in studies on the state of the art of designing data ingestion software for AI applications
Help develop the end-to-end process of developing, presenting, prioritizing, and leading the implementation of AI solutions
Oversee development practices upstream from prototyping and take charge downstream of designing the product to be deployed
Build portions of National Bank's AI environment.
Join a dynamic, energetic team where innovation and creativity are valued and where you can rethink, redefine, and build great solutions.
Experience developing ingestion scripts and processing big data for data enhancement purposes
Experience working with unstructured data (email, documents, chats)
Experience with big data tools such as Spark, Hadoop
Knowledge of Shell system control language, such as Linux Bash
Strong perspective on current and emerging machine learning trends
Solid understanding of Hadoop data ingestion tools such Kafka, Flume and NiFi
Bilingualism, both spoken and written (English and French)
Diversity is an integral part of the Bank's values and commitments. In this document, the masculine gender designates both sexes with no discrimination intended, and is used only to facilitate reading.#LI-AL1
Business Intelligence and Data