LLM Engineer (Large Language Model Specialist)

Job Description:

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.

Requirements:

• 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.

Preferred Qualifications:

• Experience with multi-modal models (text + image/audio).
• Understanding 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 Join Us?

Work on cutting-edge LLM research & applications.