VP, Machine Learning Engineer, Enterprise AI, Innovation Group
Core
Design, develop, and deploy high-impact AI solutions and enterprise AI platforms to solve real-world banking challenges and drive AI industrialization.
Role type
VP, Machine Learning Engineer, Enterprise AI
Builds
Enterprise AI platforms, reusable ML assets, libraries, frameworks, and tools for model deployment
Domain
Banking / Financial Services / Machine Learning
Deliverable
production ML models | infrastructure
Required skills
ML algorithms, model life cycle management, data pipeline optimization, cloud-based AI platforms, DevOps/CI/CD, Python, Java, Scala, Hadoop, Spark, ETL, relational and non-relational databases
Preferred skills
Banking/financial sector experience
Technologies
Hadoop, Spark, Python, Java, Scala
Responsibilities
Partner with group technology to develop and enhance enterprise AI platform and operations; Act as AI platform SME to work with data scientists and stakeholders to develop end-to-end ML solutions; Design and develop reusable assets, libraries, frameworks, and ML tools; Collaborate to adopt best-in-class industry practices for model deployment; Build and optimize data and ML pipelines; Develop tools/apps/UIs to complete AI products; Stay ahead of industry trends to drive continuous improvement in AI/ML processes
Seniority
VP, strategy & hands-on IC