Bangalore, Karnataka, India
Information Technology
Full-Time
Insurance Samadhan
Overview
Job Overview
We are looking for a skilled NLP Engineer with hands-on experience in Generative AI, Large Language Models (LLMs), and a strong command of Python. The ideal candidate will work on building, fine-tuning, and deploying advanced AI models for natural language understanding, text generation, and conversational AI applications.
Key Responsibilities
We are looking for a skilled NLP Engineer with hands-on experience in Generative AI, Large Language Models (LLMs), and a strong command of Python. The ideal candidate will work on building, fine-tuning, and deploying advanced AI models for natural language understanding, text generation, and conversational AI applications.
Key Responsibilities
- Develop, fine-tune, and deploy NLP models using state-of-the-art deep learning techniques.
- Work with Large Language Models (LLMs) such as GPT, BERT, T5, LLaMA, and Claude.
- Implement text generation, summarization, translation, and question-answering pipelines.
- Optimize NLP models for efficiency, accuracy, and scalability in production environments.
- Preprocess and clean large-scale text datasets for training and evaluation.
- Integrate AI models into applications via APIs, cloud platforms, or edge deployment.
- Leverage Python, PyTorch/TensorFlow, and Hugging Face Transformers for AI development.
- Stay updated on the latest trends and research in Generative AI, NLP, and deep Skills & Qualifications :
- 3+ years of experience in NLP, machine learning, or AI development.
- Proficiency in Python and frameworks like PyTorch, TensorFlow, Hugging Face Transformers.
- Strong understanding of NLP techniques (tokenization, embeddings, transformers, attention mechanisms).
- Experience with LLMs (fine-tuning, prompt engineering, RLHF, inference optimization).
- Familiarity with data preprocessing, text analytics, and vector databases.
- Knowledge of cloud-based AI services (AWS SageMaker, Azure AI, Google Vertex AI) is a plus.
- Strong problem-solving skills and ability to work in a fast-paced environment.
- Experience with LangChain, LlamaIndex, or RAG (Retrieval-Augmented Generation).
- Prior experience in chatbot development, voice assistants, or automated content generation.
- Contributions to open-source AI/NLP projects or research publications.
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