Build and optimize GPU-based training and inference infrastructure to accelerate large-scale financial market research, maximizing system performance, scalability, and low-latency data processing.
Responsibilities
Build, maintain, and optimize ML training & inference infrastructure for financial market research.
Lead technical decisions on AI/ML frameworks, libraries, and tools across diverse environments.
Develop high-performance data pipelines to maximize GPU utilization.
Troubleshoot bottlenecks and optimize data movement for speed and scalability.
Design systems to process massive datasets efficiently with low latency.
Qualifications
3+ years optimizing GPU-based systems & data movement.
Expertise in GPU memory management, RAPIDS, DALI.
Experience profiling & optimizing GPU code.
Knowledge of distributed computing & multi-GPU training.
