Senior Data Scientist ML, Semantic AI & RAG (India)

Experience: 7+ Years

Employment Type: Full time

About the Role

We are seeking a highly skilled Senior Data Scientist with deep expertise in Machine Learning, Generative AI, Semantic AI, NLP, and Retrieval-Augmented Generation (RAG) to design, develop, and deploy intelligent AI-driven solutions. The ideal candidate will have hands-on experience building enterprise-scale AI applications, semantic search platforms, recommendation engines, and production-grade RAG architectures using Azure Cloud technologies.

Key Responsibilities

Design, develop, and optimize Machine Learning and Generative AI solutions.

Build and deploy advanced RAG (Retrieval-Augmented Generation) systems using Azure OpenAI, LangChain, and Vector Databases.

Develop Semantic Search and Enterprise Knowledge Retrieval platforms leveraging embeddings and similarity search techniques.

Create and fine-tune NLP models for classification, clustering, recommendation systems, document understanding, and question-answering applications.

Implement scalable data pipelines and AI workflows using Azure Databricks, Azure Synapse, Azure ML, and Snowflake.

Develop vector search solutions using FAISS, ChromaDB, Azure AI Search, and hybrid retrieval architectures.

Work with large-scale structured and unstructured datasets to extract actionable business insights.

Collaborate with Data Engineers, ML Engineers, Product Teams, and Business Stakeholders to deliver AI-driven products.

Monitor, evaluate, and continuously improve model performance, accuracy, and scalability.

Required Technical Skills

Python

Scikit-learn

Pandas

NumPy

Machine Learning

Natural Language Processing (NLP)

Semantic AI

Semantic Search

Embeddings & Similarity Search

Retrieval-Augmented Generation (RAG)

LangChain

Azure OpenAI

Hugging Face

Sentence Transformers

Azure Databricks

Azure Synapse Analytics

Azure Machine Learning

Snowflake

FAISS

ChromaDB

Azure AI Search

Recommendation Systems

Classification, Regression & Clustering

Preferred Qualifications

7+ years of experience in Data Science, Machine Learning, or AI Engineering.

Proven experience delivering production-grade RAG applications.

Strong understanding of LLMs, Prompt Engineering, Vector Databases, and Retrieval Systems.

Experience building Enterprise Semantic Search and Knowledge Management Platforms.

Expertise in Hybrid Search, Vector Search, and Retrieval QA Systems.

Familiarity with MLOps, Model Deployment, and AI Governance frameworks.

Strong problem-solving, communication, and stakeholder management skills.

Job Category: developer

Job Type: Full Time

Job Location: Remote

Disclaimer : This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.