Senior Data Scientist

Job Title: Senior Data Scientist Conversational AI & GenAI

Experience: 5+ Years

Location:Bengaluru

Employment Type: Contract

We are seeking a highly skilled Senior Data Scientist to design, develop, and industrialize enterprise-grade Conversational AI and Generative AI solutions. This role requires deep expertise in Large Language Models (LLMs), Knowledge Graphs, and advanced NLP, along with strong experience in data engineering, cloud platforms, and scalable AI architectures.

The ideal candidate will work across the full lifecyclefrom architecture design and POC development to production deploymentbuilding robust, scalable, and business-ready AI platforms.

Responsibilities

Conversational AI & LLM Solutions

• Design and develop enterprise-grade conversational AI systems using modern architectures
• Build context-aware AI applications using LLMs, vector databases, and multi-agent frameworks
• Implement RAG pipelines, tool integration, and agent orchestration workflows
• Develop and optimize prompt engineering strategies and evaluation frameworks
• Improve model performance, reliability, and response quality

Knowledge Graphs & Graph Technologies

• Design and integrate Knowledge Graphs for contextual reasoning
• Develop graph-based solutions using Neo4j and Cypher
• Implement graph traversal, inference, and graph analytics
• Apply graph algorithms for AI-driven use cases

AI Application Development

• Build scalable, modular applications using Python
• Develop high-performance APIs using FastAPI / Flask
• Implement asynchronous processing and orchestration workflows
• Ensure security, observability, and performance optimization

Data Engineering & Integration

• Develop pipelines using Azure Data Factory and Databricks
• Design data lake architectures for structured and unstructured data
• Integrate enterprise data sources into AI systems
• Work with MongoDB (schema design, indexing, optimization)

Distributed & Cloud Computing

• Develop distributed data processing solutions using PySpark & Databricks
• Deploy AI workloads on Microsoft Azure AI ecosystem
• Optimize compute, storage, and cost efficiency

Architecture, POC & Industrialization

• Design scalable, highly available enterprise AI architectures
• Lead rapid POC development and productionization
• Implement CI/CD pipelines and containerization (Docker)
• Define best practices for scalability, performance, and cost optimization

Technical Skills

AI / GenAI

• Large Language Models (LLMs) & NLP
• RAG, Agents, Multi-agent orchestration
• Prompt engineering & evaluation frameworks
• Vector databases

Knowledge Graphs

• Neo4j
• Cypher Query Language
• Graph data modeling & algorithms

Programming & Frameworks

• Python (Advanced)
• FastAPI / Flask
• Asynchronous & modular system design

Data & Databases

• Azure Data Factory
• Databricks & PySpark
• MongoDB
• Data lake architectures

DevOps & Deployment

• CI/CD pipelines
• Docker / Containerization
• Cloud deployment (Azure preferred)

Preferred Skills

• Experience with Azure OpenAI, AI Search, Microsoft AI stack
• Enterprise-scale AI platform development
• AI monitoring, evaluation, and governance
• Security and Responsible AI practices

Soft Skills

• Strong problem-solving and system design mindset
• Ability to work in fast-paced, innovation-driven environments
• Excellent communication and stakeholder management
• Mentorship and technical leadership capabilities