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Posted 17 June, 2026

Senior Data Scientist / Generative AI Engineer

Crescendo Global
Haryāna, HR, IN Full Time
Reference: 51a82de35b26b1e3

Job Description

Senior Generative AI & Data Science Engineer


High-impact role for a Data Science & GenAI specialist with 3+ years of experience to deploy production-grade AI systems, multi-agent pipelines, and cloud-native LLM models.

Location - Remote / Hybrid (India) Gurgaon


Your Future Employer - A premier global technology organization pioneering advanced AI enterprise-grade solutions.


Responsibilities -

  • Build interactive multi-agent systems and conversational apps using LangChain, LangGraph, and Streamlit.
  • Deploy multi-modal RAG pipelines incorporating image preprocessing, OCR, and optimized prompt engineering.
  • Reduce model hallucinations and establish accurate metrics to lower latency.
  • Architect auto-scalable cloud services utilizing FastAPI, Docker, and AWS EKS.
  • Implement automated CI/CD workflows and self-supervised computer vision learning pipelines.


Requirements -

  • B.Tech or Master’s in Data Science, Mathematics, Physics, Statistics, or quantitative field.
  • 3+ years of corporate experience in Python, SQL, and data structures.
  • Strong hands-on proficiency with PyTorch, TensorFlow, Keras, and Scikit-Learn.
  • Expertise in GenAI workflows: Transformers, LLM Fine-tuning, Vector Databases, and LangChain.
  • Practical knowledge of infrastructure: Docker, Git, Linux, FastAPI, and AWS deployment.


Reach us - If this role aligns with your career, write an email with your updated CV to for a confidential discussion.


Disclaimer - Crescendo Global specializes in Senior to C-level niche recruitment and does not discriminate on any diversity grounds.

Note - If you don’t hear back within 1 week, assume your profile is not shortlisted. We never ask for payments; verify all jobs at

Profile Keywords - Crescendo Global, Jobs in India, Data Scientist Jobs, Generative AI Engineer, LangChain, PyTorch, RAG Pipelines, Python SQL, Machine Learning Engineer, AWS EKS, Docker, LLM FineTuning

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