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Tier-1 brand, mid-level (3–5 years) band, metro location, and broad cross-functional skillset drive high competition.
Core AI and RPA skills transfer across industries, but QMS/manufacturing domain experience raises domain-specific sensitivity.
Explicit 3–5 years requirement plus mandatory ML/agent, RPA, and enterprise integration skills enforces high strictness.
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Develop, deploy, and maintain production-ready AI agents and intelligent workflows to solve operational pain points in Quality Systems.
Design and implement Robotic Process Automation (RPA) workflows and integrate predictive models to improve efficiency and accuracy.
Integrate AI and automation solutions with enterprise platforms and ensure compliance with AI governance, data privacy, and security protocols.
3–5 years of experience in software/AI engineering, automation, or data science with demonstrated independent delivery of AI/automation solutions.
Bachelor's degree in Computer Science, Data Science, Software Engineering, Electrical Engineering, IT, or related technical field (equivalent 5+ years practical experience considered).
Proficiency with AI frameworks (e.g., Python, LangChain), RPA platforms (UiPath, Power Automate), and enterprise system integration (Salesforce, SAP, Microsoft 365).
Experience with AI validation, testing, monitoring, and compliance with AI governance frameworks.
Experience building and deploying AI agents or chatbot solutions in enterprise quality management, manufacturing, or operations environments.
Strong background integrating AI/ML models and automation to deliver measurable labor productivity improvements.
Comfortable working closely with process architects and cross-functional teams to align technical solutions with business process requirements and AI governance.