We are looking for a forward-thinking Data Scientist with expertise in Natural Language Processing NLP Large Language Models LLMs Prompt Engineering and Knowledge Graph construction You will be instrumental in designing intelligent NLP pipelines involving Named Entity Recognition NER Relationship Extraction and semantic knowledge representation The ideal candidate will also have practical experience in deploying Python-based APIs for model and service integration This is a hands-on cross-functional role where you ll work at the intersection of cutting-edge AI models and domain-driven knowledge extraction Key Responsibilities Develop and fine-tune LLM-powered NLP pipelines for tasks such as NER coreference resolution entity linking and relationship extraction Design and build Knowledge Graphs by structuring information from unstructured or semi-structured text Apply Prompt Engineering techniques to improve LLM performance in few-shot zero-shot and fine-tuned scenarios Evaluate and optimize LLMs e g OpenAI GPT Claude LLaMA Mistral or Falcon for custom domain-specific NLP tasks Build and deploy Python APIs using Flask Quick API to serve ML NLP models and access data from graph database Collaborate with teams to translate business problems into structured use cases for model development Understanding custom ontologies and entity schemas for corresponding domain Work with graph databases like Neo4j or similar DBs and query using Cypher or SPARQL Evaluate and track performance using both standard metrics and graph-based KPIs Required Skills Qualifications Strong programming experience in Python and libraries such as PyTorch TensorFlow spaCy scikit-learn Hugging Face Transformers LangChain and OpenAI APIs Deep understanding of NER relationship extraction co-reference resolution and semantic parsing Practical experience in working with or integrating LLMs for NLP applications including prompt engineering and prompt tuning Hands-on experience with graph database design and knowledge graph generation Proficient in Python API development Flask FastAPI for serving models and utilities Strong background in data preprocessing text normalization and annotation frameworks Understanding of LLM orchestration with tools like LangChain or workflow automation Familiarity with version control ML lifecycle tools e g MLflow and containerization Docker Nice to Have Experience using LLMs for Information Extraction summarization or question answering over knowledge bases Exposure to Graph Embeddings GNNs or semantic web technologies RDF OWL Experience with cloud-based model deployment AWS GCP Azure Understanding of retrieval-augmented generation RAG pipelines and vector databases e g Chroma FAISS Pinecone Job Type Full-time Pay 1 200 000 00 - 2 400 000 00 per year Ability to commute relocate Chennai Tamil Nadu Reliably commute or planning to relocate before starting work Preferred Education Bachelor s Preferred Experience Natural Language Processing NLP 3 years Preferred Language English Tamil Preferred Location Chennai Tamil Nadu Preferred Work Location In person

📌 Data Scientist (Tamil Nadu)
🏢 Pharmnova Medical Research
📍 Tamil Nadu