Deep Learning Engineer, LLM Accuracy Evaluation
Tasks
- Analyze and improve AI frameworks libraries and APIs
- Design build and maintain scalable AI evaluation pipelines
- Develop evaluation methodologies for deep learning models
- Evaluate accuracy and robustness of large language models
- Optimize and deploy AI models as inference services
- Run experiments to validate evaluation techniques
- Translate technical findings into actionable insights
Perks/Benefits
Skills/Tech-stack
Deep learning | DevOps | Docker | High Performance | High-Performance Computing | Language Models | Language Processing | Large Language Models | Linux | MLOps | Mathematical Modeling | Model Evaluation | Multimodal | NVIDIA Triton | Natural Language | Natural Language Processing | Neural Networks | ONNX | Performance Computing | Performance optimization | Retrieval-Augmented Generation | TensorRT
Education
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