AI/ML Engineer

• Design, develop, and deploy machine learning and AI models for use cases such as fraud detection, credit risk, personalization, customer analytics, and process automation.
• Lead end-to-end ML lifecycle activities: data preparation, feature engineering, model training, evaluation, deployment, and monitoring.

Overview

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

Qualifications

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

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