Senior Data Scientist Gen AI NLP & Graph Intelligence
Experience: 7 Years
Location:Pune
Employment Type: Full-time
Role Overview:
We are seeking a highly experienced and forward-thinking Senior Data Scientist to lead cutting-edge initiatives in Generative AI Machine Learning and Graph Intelligence. This role demands deep expertise in Neo4j AWS Neptune NLP and LLM frameworks with a strong foundation in predictive analytics and solution architecture. You will be instrumental in designing scalable intelligent systems that transform data into actionable insights.
Key Responsibilities:
- Lead the development and deployment of AI/ML models including predictive prescriptive and generative techniques.
- Architect and implement graph-based knowledge systems using Neo4j and AWS Neptune for semantic reasoning and relationship mapping.
- Design and fine-tune LLMs using frameworks like LangChain LangGraph LlamaIndex and OpenAI/Azure OpenAI.
- Build and optimize RAG architectures prompt engineering pipelines and inferencing frameworks.
- Apply advanced NLP techniques for text analytics document AI OCR sentiment analysis entity recognition and topic modeling.
- Collaborate with cross-functional teams to integrate models into production systems and drive business outcomes.
- Mentor junior data scientists and contribute to technical leadership across projects.
- Stay current with emerging trends in Gen AI graph intelligence and cloud-native ML.
Required Skills & Experience:
- 8 years of experience in programming with Python and SQL.
- 5 years of hands-on experience in machine learning including supervised and unsupervised algorithms deep learning (RNN LSTM GRU) and artificial neural networks.
- 3 years of experience in NLP text analytics and document intelligence.
- Proficiency in LangChain LangGraph and open-source LLM frameworks for tasks like summarization classification NER and QA.
- Strong understanding of Generative AI techniques prompt engineering vector databases and agentic frameworks.
- Hands-on experience with Neo4j AWS Neptune and knowledge graph modeling.
- Experience with RAG architecture fine-tuning and LLM deployment.
- Good to have familiarity with big data technologies and Microsoft Azure cloud services.
- Excellent problem-solving communication and stakeholder management skills.
Preferred Qualifications:
- Bachelors or Masters or Ph.D. in Computer Science Data Science AI or a related field.
- Experience with graph neural networks semantic search or knowledge graph reasoning.
- Exposure to ethical AI data privacy and responsible AI practices.
- Contributions to open-source AI/ML projects or research publications.
Required Experience:
Senior IC