Posted 18 June, 2026
Senior Data Scientist / Generative AI Engineer
Crescendo Global
Faridabad, HR, IN
Full Time
Reference: de7ec82498c2bcdc
Job Description
Senior Generative AI & Data Science Engineer\n\nHigh-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.\nLocation - Remote / Hybrid (India) Gurgaon\n\nYour Future Employer - A premier global technology organization pioneering advanced AI enterprise-grade solutions.\n\nResponsibilities -\nBuild interactive multi-agent systems and conversational apps using LangChain, LangGraph, and Streamlit.\nDeploy multi-modal RAG pipelines incorporating image preprocessing, OCR, and optimized prompt engineering.\nReduce model hallucinations and establish accurate metrics to lower latency.\nArchitect auto-scalable cloud services utilizing FastAPI, Docker, and AWS EKS.\nImplement automated CI/CD workflows and self-supervised computer vision learning pipelines.\n\nRequirements -\nB.Tech or Master’s in Data Science, Mathematics, Physics, Statistics, or quantitative field.\n3+ years of corporate experience in Python, SQL, and data structures.\nStrong hands-on proficiency with PyTorch, TensorFlow, Keras, and Scikit-Learn.\nExpertise in GenAI workflows: Transformers, LLM Fine-tuning, Vector Databases, and LangChain.\nPractical knowledge of infrastructure: Docker, Git, Linux, FastAPI, and AWS deployment.\n\nReach us - If this role aligns with your career, write an email with your updated CV to for a confidential discussion.\n\nDisclaimer - Crescendo Global specializes in Senior to C-level niche recruitment and does not discriminate on any diversity grounds.\nNote - If you don’t hear back within 1 week, assume your profile is not shortlisted. We never ask for payments; verify all jobs at www.crescendo-global.com.\nProfile 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