Dell Consultant Data Science 

India, Karnataka 

9016810

You will:

• Collect and analyze linguistic data; implement core NLP techniques like tokenization, NER, and sentiment analysis for MT/NLG pipelines.
• Design reproducible experiments, establish annotation protocols, and evaluate models using metrics like BLEU, COMET, and ROUGE.
• Build and enrich knowledge graphs; design ontologies and schemas; optimize queries using SPARQL and Cypher.
• Develop GraphRAG pipelines, train graph/text embeddings, and integrate agentic frameworks (e.g., LangGraph) for multi-hop reasoning and query translation.
• Work with MLOps teams to deploy models with CI/CD; monitor GenAI solutions for quality and performance; communicate results to stakeholders.

Essential Requirements

• Strong Python skills with hands-on experience in ML frameworks (PyTorch, TensorFlow) and data processing libraries.
• Deep understanding of NLP techniques (e.g., summarization, paraphrasing, NER, sentiment analysis) and evaluation metrics (BLEU, COMET, ROUGE, METEOR).
• Familiarity with LLM frameworks (LangGraph, LlamaIndex), RAG design patterns, and multi-agent orchestration with human-in-the-loop processes.
• Skilled in graph ML, embeddings, and semantic modeling; experienced in building GraphRAG pipelines and applying graph algorithms.
• Excellent communication and presentation skills; ability to document and explain complex solutions clearly.

Desirable Requirements

• Experience with Agile development methodology (e.g., Scrum)
• Experience - 12 to 15 yrs