ML AI Platform Engineer
Hybrid
Core
Design, enhance, and optimize ML platform solutions for model training and agent development, supporting customers in resolving issues and improving platform experience.
Role type
ML Platform Engineer
Builds
Internal ML platform enabling model training, experiments, AI workloads, and agent development
Domain
Financial services / Machine Learning Infrastructure
Deliverable
infrastructure
Required skills
Python development, Tensor computing, Distributed systems, Systems engineering, Compute architecture
Preferred skills
Debugging, Performance optimization, Backend/system-level programming
Technologies
Apache Spark, Ray, Vertex AI, SageMaker
