
LLM Engineer
4 weeks ago
We seek an experienced LLM Engineer to train, fine-tune, and deploy large language models (LLMs).
Responsibilities:- Develop and fine-tune large-scale LLMs using GPT, LLaMA, BERT, T5, etc.
- Optimize model performance using quantization, pruning, LoRA, and distillation.
- Implement retrieval-augmented generation (RAG) and vector search solutions (FAISS, Pinecone).
- Deploy models using TorchServe, Triton, and Hugging Face Inference Endpoints.
- Ensure efficient MLOps practices, including monitoring and versioning.
- 4+ years in NLP, deep learning, and LLM training.
- Degree in Computer Science, Machine Learning, or a related field.
- Proficiency in Python, PyTorch, TensorFlow, or JAX.
- Experience with distributed training (Ray, DeepSpeed, FSDP).
- Strong knowledge of ML frameworks, vector databases, and MLOps tools.
- Experience with multi-modal models (text + image/audio).
- Understanding secure AI deployment in regulated industries.
- Contributions to open-source LLM projects.
LLM Training: Hugging Face, OpenAI, DeepSpeed, LoRA
ML Frameworks: PyTorch, TensorFlow, JAX
Vector Search: FAISS, Pinecone, Weaviate
Deployment: MLflow, Kubernetes, Docker
Work on cutting-edge LLM research & applications.
Apply Now
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