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2 days ago
An experienced Large Language Model (LLM) Engineer is sought after to lead the development and deployment of cutting-edge LLMs.
Key Responsibilities:- Develop, fine-tune, and deploy large-scale LLMs utilizing GPT, LLaMA, BERT, T5, and other advanced models.
- Optimize model performance through quantization, pruning, LoRA, and distillation techniques.
- Implement retrieval-augmented generation (RAG) and vector search solutions using FAISS, Pinecone, and Weaviate.
- Deploy models efficiently using TorchServe, Triton, and Hugging Face Inference Endpoints.
- 4+ years of experience in NLP, deep learning, and LLM training with a strong background in computer science.
- Degree in Computer Science or a related field.
- Proficiency in Python, PyTorch, TensorFlow, or JAX programming languages.
- Experience with distributed training using Ray, DeepSpeed, and FSDP.
- Strong knowledge of ML frameworks, vector databases, and MLOps tools.
- Experience with multi-modal models combining text, image, and audio data.
- Understanding of secure AI deployment practices in regulated industries.
- Contributions to open-source LLM projects and communities.
LLM Training: Hugging Face, OpenAI, DeepSpeed, LoRA
ML Frameworks: PyTorch, TensorFlow, JAX
Vector Search: FAISS, Pinecone, Weaviate
Deployment: MLflow, Kubernetes, Docker
Join an innovative team dedicated to pushing the boundaries of Large Language Models research and applications.
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