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Popular AI/ML role, metro location, broad Azure/ML skillset, and early-mid experience increases competition.
Core ML/CV skills are transferable, but strong EPC engineering domain knowledge is preferred.
Requires specific CS/AI degrees and mandatory Python plus Azure/ML skills, creating moderate filtering.
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Develop and deploy AI-powered chatbots and intelligent workflows using Azure AI services for engineering and operations teams.
Build and implement computer vision and video analytics models for safety monitoring and hazard identification in industrial environments.
Automate engineering document processing including MTO extraction from P&IDs using OCR, NLP, and AI validation workflows.
Bachelor's/Master's degree in Computer Science, AI, or Machine Learning mandatory.
Experience: 0 to 2+ years in AI/ML or related roles; freshers with strong AI fundamentals also eligible.
Proficiency in Python and AI/ML fundamentals including ML algorithms, deep learning, transformers, CNNs, and RNNs.
Experience with Azure AI services including Azure OpenAI, Azure Bot Service, Cognitive Search, Document Intelligence, and Azure ML required.
Candidates with experience or strong academic background in AI/ML, particularly in Azure AI ecosystem and LLM fine-tuning.
Comfortable working on cross-functional engineering teams tackling safety-critical and complex industrial use cases.
Ability to develop end-to-end AI solutions including computer vision, NLP, and autonomous AI agent systems for large-scale engineering projects.