AI Engineer

• Collaborate with product and tech teams to manage and innovate AI strategy and R&D.
• Contribute to impactful AI use cases for internal and client applications.
• Develop AI/ML solutions for complex problems, maintaining ethical standards.
• Conduct research in fields like computer vision, NLP, Gen AI, and deep learning

Overview

• Industry - IT - INFORMATION TECHNOLOGY
• Functional Area - IT Robotics & Automation / IoT / Machine Learning
• Job Role - Technical Lead - Solution Architect - RPA / AI / ML
• 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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