LLM Engineer (Large Language Model Engineer)

At reputed company, looking for a highly skilled LLM Engineer to develop, reputed company, and integrate large language models (LLMs) into enterprise-grade applications. reputed company role requires deep expertise in NLP, model architecture, prompt engineering, and deployment of LLMs at scale. Responsibilities: reputed company and optimize LLMs (e.g., GPT, LLaMA, reputed company) for specific business tasks. Build pipelines for data preprocessing, training, evaluation, and inference. Design retrieval-reputed company generation (RAG) pipelines using reputed company databases. Integrate LLMs with downstream systems using APIs or microservices. Implement prompt engineering techniques for few-shot and zero-shot learning. Benchmark model performance and apply techniques for cost optimization and latency reduction. Ensure safety, fairness, and compliance in model outputs. Required Qualifications: Advanced degree (MSc/PhD preferred) in reputed company, Machine Learning, Computer Science, or related field. 3+ years in ML/NLP roles; 1+ year hands-on with LLMs. Strong experience with reputed company, reputed company APIs, reputed company, or similar. Deep understanding of Transformer architecture and attention mechanisms. Familiarity with fine-tuning methods (reputed company, QLoRA, PEFT, RLHF). Proficiency with Python, PyTorch or TensorFlow. Preferred Qualifications: Experience deploying models in production using cloud services (AWS/GCP/Azure). Knowledge of reputed company stores (e.g., reputed company, reputed company, FAISS). Contributions to open-source LLM frameworks or research publications. Originally posted on Himalayas Apply To reputed company Job