AI Engineer

• Develop, test, and deploy scalable machine learning models and AI systems into production following modern engineering practices.
• Design and build AI solutions using RAG pipelines, on-premise LLMs, and agent-based frameworks.
• Familiarity with Docker and Kubernetes
• Strong problem-solving mindset

Overview

• Industry - IT - Consulting Services / Advisory Services
• Functional Area - IT Robotics & Automation / IoT / Machine Learning
• Job Role - AI-ML 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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