VP of Data Engineering (AI/ML)
Core
Building scalable data platforms and pipelines that enable AI and ML use cases in production for a global financial services organization.
Role type
Senior hands-on VP of Data Engineering (AI/ML)
Builds
Scalable data platforms, ingestion, transformation, and serving capabilities for production ML workloads
Domain
Financial services, Cloud-native data infrastructure
Deliverable
production ML models
Required skills
Python, SQL, scalable data pipeline design, cloud-native patterns, data ingestion, data transformation, data serving, complex problem solving
Preferred skills
AI/ML infrastructure exposure, agile methodology, mentoring
Technologies
Python, SQL, Cloud-native patterns
Responsibilities
Design and evolve scalable data platforms and pipelines; Act as a senior hands-on engineer within an agile POD; Engineer robust data ingestion, transformation, and serving capabilities; Identify and resolve complex data issues; Mentor and support less experienced engineers
Seniority
VP, hands-on IC