Description
Senior Data Scientist I
Location: Bengaluru, India; Kolkata, India
Department: Data Science
Experience: 5+
Job Description
Role: Senior Data Scientist – Conversational AI, LLM
Location: Bangalore Experience: 5+ Years Employment Type: Full-Time
---
Role Overview
We are looking for a highly skilled Senior Data Scientist to design, develop, and industrialize enterprise-grade Conversational AI and GenAI solutions. The ideal candidate will have deep expertise in Large Language Models, advanced NLP, and scalable AI application development, along with strong experience in data engineering, cloud platforms, and modern AI system architecture.
This role involves working across the full lifecycle, from architecture → POC → production deployment, to build robust, scalable, and business-ready AI platforms.
---
Key Responsibilities
Conversational AI & LLM Solutions
· Design, develop, and maintain enterprise-grade Conversational AI systems using modern architectural patterns.
· Build context-aware AI applications leveraging LLMs, vector databases, and multi-agent orchestration frameworks.
· Develop and optimize prompt engineering strategies for reliability, evaluation, and performance tuning.
· Implement LLM interaction workflows including RAG, tool usage, and agent-to-agent communication.
Knowledge Graphs & Graph Technologies
· Design and integrate Knowledge Graphs to enhance contextual intelligence and reasoning.
· Develop graph-based solutions using enterprise Neo4j with strong proficiency in Cypher query language and graph algorithms.
· Implement graph traversal, inference, and graph analytics for AI use cases.
AI Application Development
· Build modular, scalable, and maintainable Python-based AI applications.
· Develop high-performance REST APIs using Fast / Flask framework.
· Implement asynchronous processing and orchestration workflows.
· Ensure security, performance, and observability of AI services.
Data Engineering & Integration
· Develop and manage data ingestion and transformation pipelines using Azure Data Factory and Data bricks.
· Design and implement data lake architectures supporting multiple structured and unstructured data formats.
· Integrate large-scale enterprise data sources with AI platforms.
· Work with MongoDB for schema design, indexing strategies, and large-scale semi-structured data handling.
Distributed & Cloud Computing
· Develop distributed data processing solutions using Databricks and PySpark.
· Deploy and manage AI workloads on cloud platforms (preferably Microsoft Azure AI stack).
Architecture, POC & Industrialization
· Design scalable, highly available, and robust enterprise AI architectures.
· Lead rapid POC development and transition solutions to production-grade systems.
· Knowledge about CI/CD pipelines, containerization (Docker), and deployment automation.
· Define best practices for performance, scalability, and cost optimization.
---
Required Technical Skills
AI / GenAI
· Large Language Models (LLMs) & NLP
· RAG, agents, and multi-agent orchestration
· Prompt engineering & LLM evaluation frameworks
· Vector databases
Programming & Frameworks
· Python (advanced proficiency)
· FastAPI / Flask
· Asynchronous & modular application design
Data & Databases
· Databricks & PySpark
· MongoDB (schema design, indexing, optimization)
---
Preferred Skills
· Experience with Microsoft AI ecosystem (Azure OpenAI, AI Search, Microsoft Foundry, etc.)
· Experience in enterprise-scale AI platform development
· Strong understanding of AI system evaluation, monitoring, and governance
· Exposure to security and responsible AI practices
· Neo4j, Cypher query language, Graph data modeling & graph algorithms
· Azure Data Factory, Data Lake architectures
· CI/CD pipelines, Docker & containerization, Cloud deployment (Azure preferred)
---
Soft Skills
· Strong problem-solving and system design capabilities
· Ability to work in a fast-paced, innovation-driven environment
· Excellent communication and stakeholder collaboration
· Mentoring and technical leadership experience
There are more than 50,000 engineering jobs:
Subscribe to membership and unlock all jobs
Engineering Jobs
60,000+ jobs from 4,500+ well-funded companies
Updated Daily
New jobs are added every day as companies post them
Refined Search
Use filters like skill, location, etc to narrow results
Become a member
🥳🥳🥳 452 happy customers and counting...
Overall, over 80% of customers chose to renew their subscriptions after the initial sign-up.
To try it out
For active job seekers
For those who are passive looking
Cancel anytime
Frequently Asked Questions
- We prioritize job seekers as our customers, unlike bigger job sites, by charging a small fee to provide them with curated access to the best companies and up-to-date jobs. This focus allows us to deliver a more personalized and effective job search experience.
- We've got over 200,000 jobs from 15,000+ vetted companies. No fake or sleazy jobs here!
- We aggregate jobs from 15,000+ companies' career pages, so you can be sure that you're getting the most up-to-date and relevant jobs.
- We're the only job board *for* software engineers, *by* software engineers… in case you needed a reminder! We add thousands of new jobs daily and offer powerful search filters just for you. 🛠️
- Every single hour! We add 2,000-3,000 new jobs daily, so you'll always have fresh opportunities. 🚀
- Typically, job searches take 3-6 months. EchoJobs helps you spend more time applying and less time hunting. 🎯
- Check daily! We're always updating with new jobs. Set up job alerts for even quicker access. 📅
What Fellow Engineers Say