Lead AI Engineer

• Design end to end AI architectures spanning data ingestion, model serving, orchestration, observability and governance
• Make and document technology choices with clear trade off analysis: open versus closed models, RAG versus fine tuning, single agent versus multi agent, real time versus batch

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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