
Advanced Language Model Architect
7 days ago
We are seeking an experienced Large Language Model (LLM) engineer to design, develop, and deploy advanced language models. The ideal candidate will have a strong background in natural language processing (NLP), deep learning, and software engineering.
The primary responsibilities of this role include developing and fine-tuning large-scale LLMs using various architectures such as GPT, LLaMA, BERT, and T5. Additionally, the successful candidate will optimize model performance through techniques like quantization, pruning, LoRA, and distillation.
Main Responsibilities:
- Design and develop cutting-edge LLMs for applications such as text generation, question answering, and sentiment analysis.
- Fine-tune pre-trained LLMs using custom datasets and evaluation metrics.
- Implement retrieval-augmented generation (RAG) and vector search solutions using libraries like FAISS and Pinecone.
- Deploy models using TorchServe, Triton, and Hugging Face Inference Endpoints.
- Ensure efficient MLOps practices, including monitoring and versioning.
Requirements:
- 4+ years of experience in NLP, deep learning, and software engineering.
- Degree in Computer Science, Machine Learning, or a related field.
- Proficiency in Python, PyTorch, TensorFlow, or JAX.
- Experience with distributed training using frameworks like Ray, DeepSpeed, and FSDP.
- Strong knowledge of ML frameworks, vector databases, and MLOps tools.
Preferred Qualifications:
- Experience with multi-modal models combining text and image/audio inputs.
- Understanding of secure AI deployment in regulated industries.
- Contributions to open-source LLM projects.
Tech Stack:
- LLM Training: Hugging Face, OpenAI, DeepSpeed, LoRA
- ML Frameworks: PyTorch, TensorFlow, JAX
- Vector Search: FAISS, Pinecone, Weaviate
- Deployment: MLflow, Kubernetes, Docker
Why This Role is Important:
This position offers the opportunity to work on cutting-edge LLM research and applications, driving innovation and improvement in language understanding and generation. If you are passionate about NLP and deep learning, and have a strong desire to push the boundaries of what is possible with language models, we encourage you to apply for this exciting opportunity.
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