AI-ML Data Engineer

1. Design, build, and maintain scalable ETL/ELT pipelines for structured and unstructured data.

2. Develop, train, and deploy machine learning models using TensorFlow, PyTorch, or Scikit-learn.

3. Collaborate with cross-functional teams to translate analytical needs into production-grade ML solutions.

Overview

• Industry - IT - Consulting Services / Advisory Services
• Functional Area - IT Software Programming / Analysis / Quality / Testing / Training
• Job Role - Data Quality Engineer
• Employment type - Full Time - Permanent
• Work Mode - In Office

Qualifications

• Any Graduate - Any Specialization
• Any Post Graduate - Any Specialization
• Any Doctorate - Any Specialization

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