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About the role
Senior AI Engineer (510+ Years) Responsibilities: - Lead enterprise-scale AI/GenAI solution design - Architect end-to-end AI systems - Implement LLM-based solutions (RAG, fine-tuning) - Define AI roadmap aligned to manufacturing transformation - Mentor junior engineers Skills: - Advanced ML/DL/GenAI expertise - LLMs, vector databases, RAG pipelines - MLOps and cloud platforms (AWS/Azure/GCP) - Enterprise-scale AI deployment Industry Use Cases - Engineering assistants - Document intelligence (BOM, specs, compliance) - Predictive maintenance - Supply chain forecasting - Quality inspection using computer vision Education & Experience Bachelor’s or Master’s degree in Computer Science, AI, Data Science, or Engineering. Manufacturing domain experience preferred. Success Metrics - Deployment of production-grade AI solutions - Improved operational efficiency - Reduced cost and cycle time - Adoption across engineering and operations
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