Artificial Intelligence Engineer

• Proficiency with vector stores, semantic search, GraphDB and related technologies.
• Build APIs for LLMs and also for internal systems- API / Microservices.
• Deep knowledge of AI and ML technologies such as supervised learning, reinforcement
• Familiarity with MLX framework or training/inferencing on Nvidia GPU or Silicon

Overview

• Industry - IT - Consulting Services / Advisory Services
• Functional Area - IT Robotics & Automation / IoT / Machine Learning
• Job Role - AI-ML Engineer, Other IT Robotics & Automation / IoT / Machine Learning
• Employment type - Full Time - Permanent
• Work Mode - Remote

Qualifications

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

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