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Crescendo Global

Senior Data Scientist / Generative AI Engineer

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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 -

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

Requirements -

  1. B.Tech or Master's in Data Science, Mathematics, Physics, Statistics, or quantitative field.
  2. 3+ years of corporate experience in Python, SQL, and data structures.
  3. Strong hands-on proficiency with PyTorch, TensorFlow, Keras, and Scikit-Learn.
  4. Expertise in GenAI workflows: Transformers, LLM Fine-tuning, Vector Databases, and LangChain.
  5. 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 [Confidential Information] 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 www.crescendo-global.com.

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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Job ID: 148997807