Machine Learning Engineer

1. Design, develop, and deploy production-grade ML/Computer Vision solutions (object detection, defect detection, facial recognition, human activity recognition)

2. Build and optimize large-scale data pipelines for image/video processing (cloud & edge)

3. Architect scalable, real-time AI systems with high accuracy and low latency.

Overview

• Industry - Management Consulting
• Functional Area - IT Robotics & Automation / IoT / Machine Learning
• Job Role - Machine Learning 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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