What you will do

• 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.

• CUDA/Triton programming experience preferred.

• Strong problem-solving and collaboration skills.