Senior / Lead NLP Engineer

Mandatory Skills- NLP,GenAI,Machine Learning,Deployment,LLM,MLops

• Design, develop, and deploy NLP & Generative AI solutions, leveraging Large Language Models (LLMs), fine-tuning techniques, and AI-powered automation.
• Lead research and implementation of advanced NLP techniques, including transformers, embeddings, retrieval-augmented generation (RAG), and multi-modal models.
• Architect scalable NLP pipelines for text processing, entity recognition, summarization, question answering, and conversational AI.
• Develop and optimize LLM-powered chatbots, virtual assistants, and AI agents, ensuring efficiency, accuracy, and contextual awareness.
• Implement Agentic AI systems, enabling autonomous workflows powered by LLMs and task orchestration frameworks.
• Ensure LLM observability and guardrails, enhancing model monitoring, safety, fairness, and compliance in production environments.
• Optimize inference pipelines, leveraging quantization, model distillation, and retrieval-enhanced generation to improve performance and cost efficiency.
• Lead MLOps initiatives, including CI / CD pipelines, containerization (Docker, Kubernetes), and cloud deployments (AWS, GCP, Azure).
• Collaborate with cross-functional teams to integrate NLP & GenAI solutions into enterprise applications, ensuring robust API development and scalable microservices architecture.
• Mentor junior engineers, drive best practices in NLP / AI model development, and contribute to AI governance in regulated industries like pharma / life sciences.

Key Qualifications :

Skills Required

Machine Learning, MLops, Natural Language Processing, Llm