Lead / Principal Machine Learning Applied Scientist

Requirements & Qualifications Experience: 8+ years of professional experience in Applied Machine Learning, NLP, and Data Science, with at least 2+ years focused on LLM architectures and production pipelines. Education: Masters or Ph.D. in Computer Science, Data Science, Statistics, Mathematics, or a related quantitative field. Core Technical Expertise: LLMs & Generative AI: Deep expertise in fine-tuning, prompt engineering, RAG pipelines, agentic workflows, and frameworks like LangChain, LlamaIndex, or AutoGen. Vector Databases & Search: Hands-on experience with vector stores (e.g., Pinecone, Milvus, Qdrant, Chroma) and hybrid search implementations (BM25 + Dense Retrieval). NLP & Text Analytics: Proven mastery in named entity recognition (NER), issue extraction, text classification, semantic clustering, and topic modeling. Programming & Systems: Expert-level Python proficiency along with standard ML frameworks (PyTorch, Hugging Face, Scikit-learn) and big-data processing tools (Spark, SQL). Location & Work Mode: Willingness to work 5 days from office at either our Gurugram or Chennai location. Preferred Qualifications Track record of deploying scalable LLM applications in enterprise production environments. Experience with knowledge graph technologies (Neo4j, RDF, SPARQL) and automated ontology building. Familiarity with MLOps frameworks, CI/CD pipelines for AI, and cloud infrastructure (AWS, Azure, or GCP). .