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4 days ago
Our ideal candidate will focus on scaling AI-driven products and risk management policies, ensuring APIs operate smoothly at scale and identifying ways to simplify customer journeys.
This role involves collaborating with the AI Engineering Team within Digital Banking to deliver innovative ideas in a fast-paced environment. The successful candidate will work closely with teams across the bank, including data scientists, engineers, product managers, and senior business stakeholders.
Key Skills:- End-to-end AI/MLOps system architecture, including model implementation and debugging
- Programming skills in Python, PySpark, NumPy, Pandas, SQL, and Linux
- Cloud experience with Azure services, including Azure Databricks, Spark, Data Warehousing, and pipeline orchestration
- CI/CD and DevOps skills, including automated model deployment and API development
The ideal candidate will have exposure to risk modeling and financial services, as well as excellent communication and stakeholder management skills.
About the Business Unit:The Digital Business Unit focuses on building customer-centric products with human-centered design principles. We aim to drive better customer experience and engagement, transform existing lines of businesses, and build new digital-only or banking-as-a-service led digital business models.
Benefits:- Award-winning company culture
- Opportunities for professional growth and development
- Diverse and inclusive work environment
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