About Us
We turn customer challenges into growth opportunities. Material is a global strategy partner to the world’s most recognizable brands and innovative companies. Our people around the globe thrive by helping organizations design and deliver rewarding customer experiences. We use deep human insights, design innovation and data to create experiences powered by modern technology. Our approaches speed engagement and growth for the companies we work with and transform relationships between businesses and the people they serve. Material company, is a renowned global digital engineering firm with a reputation for solving complex technology problems using their deep technology expertise and leveraging strategic partnerships with top-tier technology partners.
Role - Senior / Lead Data Scientist – Generative AI (RAG & Multi-Agent Systems)
Experience
6+ years
(Senior / Lead Data Scientist)
Role Summary
We are looking for a Senior Developer/Lead Data Scientist to build and scale an enterprise-grade
GenAI chatbot platform
that integrates with
multiple RAG (Retrieval Augmented Generation) systems
to deliver accurate, grounded, and secure responses at high concurrency. You will own architecture and hands-on development across
LLM orchestration, retrieval pipelines, evaluation, and production deployment
.
Key Responsibilities
Design and build a scalable
GenAI chatbot
that orchestrates and calls multiple
RAG systems
(routing, retrieval, re-ranking, response generation).
Implement
multi-agent architectures
(where required) using frameworks like
LangChain, AutoGen
, or similar.
Develop robust
Python services/APIs
(FastAPI preferred) with streaming responses, retries, rate limits, and observability.
Build and optimize RAG pipelines:
data ingestion, chunking strategies, embeddings, vector indexing, hybrid retrieval, metadata filtering, and context management
.
Evaluate and improve response quality using
offline/online evaluation
, feedback loops, and guardrails to reduce hallucinations.
Integrate
Azure OpenAI / OpenAI GPT models
and manage prompt/versioning strategies for different use-cases.
Ensure production readiness:
performance optimization, cost control, caching, monitoring, alerting, CI/CD
, and secure deployments.
Collaborate with product and engineering teams to define requirements, SLAs, and rollout plans.
Must Have Skills
Strong proficiency in
Python
and AI/ML libraries:
PyTorch / TensorFlow, Scikit-learn
.
Hands-on experience with
Generative AI
and LLMs (e.g.,
Azure OpenAI GPT
) in production.
Strong understanding of
Data Science fundamentals
: preprocessing, feature engineering, model evaluation, metrics.
Experience building
RAG systems
: embeddings, vector search, retrieval strategies, re-ranking, and grounding.
Experience with
LangChain, AutoGen
, or similar orchestration frameworks.
Solid software engineering practices: clean architecture, testing, code review, documentation.
Nice to Have
Familiarity with
Big Data
tools:
Spark, Hadoop
,
Databricks
.
Experience with databases:
SQL / NoSQL
, and vector databases/search (Azure AI Search, Pinecone, Weaviate, Qdrant, etc.).
Experience with
ReactJS
for building responsive chat UIs with streaming.
Knowledge of
MLOps
tooling and cloud deployment patterns (Docker/Kubernetes).
What You’ll Build / Deliverables
Multi-RAG chatbot orchestration layer (routing + tool calling).
Scalable retrieval and generation services with caching and observability.
Evaluation harness (quality + hallucination checks) and feedback-driven improvements.
Secure, multi-tenant ready system (if applicable) with access control.
Education
B.Tech/M.Tech in CS/IT/Data Science (or equivalent practical experience).
Who We Are & What We Care About
·
Material is a global company and we work with best-of-class brands worldwide.
We also create and launch new brands and products, putting innovation and value creation at the center of our practice. Our clients are in the top of their class, across industry sectors from technology to retail, transportation, finance and healthcare.
·
Material employees join a peer group of exceptionally talented colleagues
across the company, the country, and even the world. We develop capabilities, craft and leading-edge market offerings across seven global practices including strategy and insights, design, data & analytics, technology and tracking. Our engagement management team makes it all hum for clients.
·
We prize inclusion and interconnectedness.
We amplify our impact through the people, perspectives, and expertise we engage in our work. Our commitment to deep human understanding combined with a science & systems approach uniquely equips us to bring a rich frame of reference to our work.
·
A community focused on learning and making an impact.
Material is an outcomes focused company. We
c
reate experiences that matter, create new value and make a difference in people's lives.
What We Offer
· Professional Development and Mentorship.
· Hybrid work mode with remote friendly workplace. (6 times in a row Great Place To Work Certified).
· Health and Family Insurance.
· 40+ Leaves per year along with maternity & paternity leaves.
· Wellness, meditation and Counselling sessions.