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Vrinda International

Data Engineer – Machine Learning (GCP / AI-ML)

Vrinda International Gurgaon, Haryana, India

Human Resources Services · 2-10 employees

May 29
machine-learning Senior (5-10 yrs) Full-time India
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About the role

Design and build end-to-end machine learning pipelines on Google Cloud Platform. Develop, deploy, and maintain scalable production-grade machine learning and deep learning solutions.

What they look for

Python Google Cloud Platform Machine Learning Deep Learning PyTorch TensorFlow NLP Transformers Generative AI LangChain LangGraph LLM APIs Scikit-learn XGBoost LightGBM Data Engineering

Requirements

Requires 8+ years of total experience with strong proficiency in Python, ML frameworks, and Deep Learning. Candidates must have hands-on experience with GCP, NLP, and modern generative AI tools.

Full description

Hiring: Data Engineer – Machine Learning (GCP / AI-ML)

Location: Gurgaon

Work Mode: Work From Office (Day 1 Mandatory)

Interview Mode: Face-to-Face (Mandatory)

We are looking for an experienced Data Engineer – Machine Learning with strong expertise in ML pipelines, Deep Learning, and Google Cloud Platform.

? Key Responsibilities:

  • Design and build end-to-end ML pipelines on Google Cloud Platform
  • Develop scalable machine learning solutions using Python and ML frameworks
  • Work on Deep Learning and Transformer-based models
  • Build and optimize data pipelines for ML workflows
  • Collaborate with stakeholders for requirements gathering and solution design
  • Deploy and maintain production-grade ML systems

Required Skills:

  • 8+ years total experience, 7+ years relevant experience
  • Strong hands-on in Python (OOPs, DSA, design patterns)
  • Experience with Machine Learning frameworks (Scikit-learn, XGBoost, LightGBM)
  • Strong knowledge of Deep Learning (PyTorch / TensorFlow)
  • Experience in NLP, Transformers, and Generative AI
  • Hands-on with GCP and ML pipeline development
  • Familiarity with LangChain, LangGraph, LLM APIs (OpenAI, Gemini, etc.) preferred

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