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Data Scientist With Nlp Agentic Ai

🌐 Remote💼 Full-time🗓 2026-07-30

Core

Developing products and implementing automation solutions for clients using AI agents and NLP.

Role type

Senior IC Data Scientist (NLP & Agentic AI)

Builds

Automation solutions for clients

Domain

Cloud (AWS) + AI/ML

Deliverable

production ML models

Required skills

AWS services (Textract, Comprehend, SageMaker Ground Truth, OpenSearch, A2I, Amazon Q), LangChain/LangGraph for AI agents, MLOps, DevOps, Python, Docker

Preferred skills

Computer Vision (Object Detection), NLP Models (NER, Text Summarization), Elastic Search/Azure AI Search/Vector DB, GPT/LLMs/custom LLMs, document extraction models, spaCy, YOLO, Hugging Face, TensorFlow, Keras, MS-CNTK, PyTorch

Technologies

AWS, LangChain, LangGraph, Docker, Python, PyTorch, TensorFlow, Keras, MS-CNTK, Hugging Face, spaCy, YOLO, Elastic Search, Azure AI Search, Vector DB

Responsibilities

Develop products, implement industry use cases around automation solutions, build AI agent-based solutions, set up MLOps life cycle, deploy production scale models

Seniority

Senior, hands-on IC

Rewrite
## About the role We are looking for a hardcore techie for this role. One who lives & breathes code. With a history of building and deploying projects/solutions across varied tech stack but with specialization on AWS track. An entrepreneurial streak is welcome. If you love solving technical challenges, then this is the role for you. The candidate will work on developing our products and implementing industry use cases around automation solutions for our clients. ## Must have skills - AWS services such as Amazon Textract, Amazon Comprehend, AWS Sage Maker Ground Truth, AWS OpenSearch and Amazon A2I, Amazon Q - LangChain/LangGraph framework specifically AI agent-based solutions. - AWS based MLOps life cycle setup; Experience with production scale deployment and MLOps life cycle; DevOps/Cloud Exposure: Exposure to work on multi-cloud environment, dev ops setup ## Good to have skills - Worked on Computer Vision (Object Detection) and NLP Models (NER, Text Summazing) - Worked on Elastic Search / Azure AI Search / Vector DB / Semantic Search - Worked on GPT/LLMs/custom LLMs - Experience in developing ML/DL models around document extraction - Proficiency in using leading AI models like spaCy, YOLO, Hugging Face - Proficiency in using AI libraries like TensorFlow, Keras, MS-CNTK, PyTorch - High proficiency with Python - Containerize applications using Docker ## Work Location Bangalore Based + Hybrid / Remote ## Employment Type Full-time ## Prefer applicants who can join IMMEDIATELY
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