Sr. Data Scientist
LocationChennai; Gurgaon
Typefull-time
SenioritySenior
Experience6–8 yrs
Company size10,000+ people
PostedSep 18, 2026 · 3w ago
Verified live20h ago
At a glanceSummarised by Seekless from the posting.
6-8 years of experience
Advanced proficiency in Python
Experience with Machine Learning (supervised/unsupervised learning, NLP)
Experience with Generative AI (LLMs, prompt engineering, embeddings)
Experience with RAG architecture and vector search
Experience with model evaluation and validation frameworks
Experience with LangChain / LlamaIndex (or similar frameworks)
Experience with Scikit-learn / XGBoost / LightGBM
Experience with PyTorch / TensorFlow
Experience with HuggingFace / OpenAI / LLM APIs
Experience with vector databases (Pinecone, FAISS, Weaviate, OpenSearch, etc.)
Experience with SQL and data querying
Experience with AWS / Azure / GCP
Experience with CI/CD for ML deployments
Experience with model tracking tools (MLflow preferred)
Experience in legal, regulatory, or publishing domains
Experience with model monitoring and MLOps
Knowledge of fine-tuning techniques (LoRA, PEFT, QLoRA)
Experience with multi-agent frameworks (AutoGen, LangGraph, etc.)
Skills
Python
Machine Learning
NLP
Generative AI
LLMs
LangChain
LlamaIndex
Scikit-learn
XGBoost
LightGBM
PyTorch
TensorFlow
HuggingFace
OpenAI
Pinecone
FAISS
Weaviate
OpenSearch
SQL
AWS
Azure
GCP
MLflow
CI/CD
LoRA
PEFT
QLoRA
AutoGen
LangGraph
A/B testing
Benefits
Health insurance
Life insurance
Accident insurance
Employee assistance program
Medical screening
Family benefits
Subsidized meals
Paid time off
Transport pickup
About The Role:
The Sr. Data Scientist to work on complex project involving AI, GenAI, RAG and Agentic Solution for the business delivery projects
Responsibilities
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Design, develop, and deploy machine learning and GenAI solutions in production environments
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Build and optimize Retrieval-Augmented Generation (RAG) pipelines
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Fine-tune and evaluate Large Language Models (LLMs)
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Develop prompt engineering strategies and evaluation frameworks
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Implement scalable ML pipelines using Python
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Work with structured and unstructured data sources
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Collaborate with Engineering, Product, and SMEs to deliver AI-driven features
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Monitor model performance, drift, and reliability in production
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Conduct experimentation, A/B testing, and performance benchmarking
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Contribute to architecture design for AI-powered systems
Requirements
Experience: 6–8 Years
Core Stack
•
Python (advanced proficiency)
•
Machine Learning (supervised/unsupervised learning, NLP)
•
Generative AI (LLMs, prompt engineering, embeddings)
•
RAG architecture and vector search
•
Model evaluation and validation frameworks
ML & AI Tools
•
LangChain / LlamaIndex (or similar frameworks)
•
Scikit-learn / XGBoost / LightGBM
•
PyTorch / TensorFlow
•
HuggingFace / OpenAI / LLM APIs
•
Vector databases (Pinecone, FAISS, Weaviate, OpenSearch, etc.)
Data & Infrastructure
•
SQL and data querying
•
Experience with AWS / Azure / GCP
•
CI/CD for ML deployments
•
Model tracking tools (MLflow preferred)
Good to Have
•
Experience in legal, regulatory, or publishing domains
•
Experience with model monitoring and MLOps
•
Knowledge of fine-tuning techniques (LoRA, PEFT, QLoRA)
•
Experience with multi-agent frameworks (AutoGen, LangGraph, etc.){Empty}
Working for you:
We know that your wellbeing and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer:
•
Comprehensive Health Insurance: Covers you, your immediate family, and parents.
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Enhanced Health Insurance Options: Competitive rates negotiated by the company.
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Group Life Insurance: Ensuring financial security for your loved ones.
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Group Accident Insurance: Extra protection for accidental death and permanent disablement.
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Flexible Working Arrangement: Achieve a harmonious work-life balance.
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Employee Assistance Program: Access support for personal and work-related challenges.
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Medical Screening: Your well-being is a top priority.
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Modern Family Benefits: Maternity, paternity, and adoption support.
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Long-Service Awards: Recognizing dedication and commitment.
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New Baby Gift: Celebrating the joy of parenthood.
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Subsidized Meals in Chennai: Enjoy delicious meals at discounted rates.
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Various Paid Time Off: Take time off with Casual Leave, Sick Leave, Privilege Leave, Compassionate Leave, Special Sick Leave, and Gazetted Public Holidays.
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Free Transport pick up and drop from the home -office - home (applies in Chennai)
We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location.
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