AI Research Engineer

Model Development: Implement, fine-tune, and evaluate advanced AI architectures (e.g., LLMs, Vision-Language Models, Diffusion Models).
Scalable Training: Design and manage distributed training pipelines across massive GPU/TPU clusters.
Optimization: Accelerate model inference and reduce memory footprints using quantization, distillation, and compilation techniques.
Data Engineering: Build robust pipelines for data curation, deduplication, and synthetic data generation.
Research Translation: Evaluate academic literature and rapidly prototype novel algorithms to solve complex business problems.

IMMORTAL DRAGONS PRIVATE LIMITED · Singapore · 2 months ago

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