Principal Machine Learning Engineer- LLM Fine-tuning and Optimization
Tasks
- Contribute to ML platform architecture and strategy
- Create multi year AI technology roadmap
- Develop LLM training and inference pipelines at scale
- Drive AI architectural decisions
- Evaluate foundation models for quality and efficiency
- Fine-tune large language models
- Implement batch and real-time inference
- Optimize model performance for deployment
- Prototype develop and productionize LLM models and pipelines
Perks/Benefits
Skills/Tech-stack
AI infrastructure | Batch Processing | Data Processing | Fine Tuning | GPU Inference | Kernel development | LLM Fine-tuning | Language Model | Language Model Evaluation | Language Models | Large Language Models | Machine Learning | Model Compression | Model Evaluation | Model Inference | Model Optimization | Model Quantization | Multilingual Modeling | Multimodal modeling | PyTorch | Python | RAG | Real Time | Real-time Systems | Reinforcement Learning | Search | Time Systems
Education
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