Generative AI Engineer - NLP/LLM

<p><p><b>Key Responsibilities :</b></p><p><p><b><br/></b></p>- Develop and fine-tune LLMs for classification, NLP, and generative AI use cases.<br/><br/></p><p>- Build RAG pipelines with vector databases and implement prompt engineering strategies.<br/><br/></p><p>- Conduct data preprocessing for LLM training including tokenization and embedding generation.<br/><br/></p><p>- Design custom chatbots, text generation, and document analysis solutions.<br/><br/></p><p>- Implement LLM evaluation metrics (BLEU, ROUGE, perplexity) and human feedback loops.<br/><br/></p><p>- Deploy conversational AI and content generation models in Requirements :</b></p><p><br/></p>- 2 years hands-on LLM development (GPT, BERT, T5, Llama, Claude).</p><p><br/></p><p>- Proficient in Transformers, Hugging Face, LangChain, OpenAI API.<br/><br/></p><p>- Experience with vector databases (Pinecone, Weaviate, ChromaDB) and semantic search.<br/><br/></p><p>- Strong Python, SQL, and deep learning (PyTorch, TensorFlow).<br/><br/></p><p>- Knowledge of fine-tuning techniques (LoRA, QLoRA, PEFT) and model quantization.<br/><br/></p><p>- Understanding of prompt engineering, chain-of-thought, and few-shot learning.<br/><br/></p><p>- Familiarity with MLOps for LLMs (model versioning, A/B testing, monitoring) </p><br/></p> (ref:hirist.tech)