Job Description

What you'll do:

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The successful candidate will be responsible for development of AI/ML, CVML based solutions for manufacturing, manufacturing quality, model selection, model development and infrastructure development for deployment. The role focuses on enabling smart, automated quality assurance within advanced manufacturing environments. As an engineer, you will contribute to the design, deployment, and optimization of AI-driven inspection systems, leveraging computer vision, machine learning, and edge-based analytics to ensure product integrity and process efficiency. You will work closely with cross-functional teams to integrate intelligent quality solutions into production workflows, support continuous improvement initiatives, and maintain compliance with global quality standards. This position offers hands-on experience with next-generation manufacturing technologies, empowering you to drive defect reduction, enhance operational reliability, and support the transition toward fully digital, autonomous quality ecosystems.


"o Must have working experience on Python, LLM model development

Analyze production data using advanced analytics tools to identify patterns, predict quality issues, and recommend corrective actions Develop and maintain machine vision algorithms for automated quality checks on production lines Analyze image and video data to identify patterns and improve defect detection accuracy. Basic understanding of manufacturing process, good understanding of different functions of manufacturing plant Implementation AI-based visual inspection systems to detect defects and anomalies in real time using machine vision and deep learning models Collaborate with cross-functional teams to integrate intelligent quality solutions into existing manufacturing processes Support integration of automated inspection systems with MES (Manufacturing Execution Systems) for seamless data flow Participate in root cause analysis using AI-powered insights to reduce recurring defects Conduct trials and pilot runs for new intelligent inspection solutions before full-scale implementation Stay updated on emerging AI and computer vision technologies relevant to manufacturing quality solutions. Gets trained on internal systems & processes and implements them towards projects Design and validate inspection protocols that use computer vision and image processing for dimensional accuracy and surface defect detection Contribute to continuous improvement projects using Lean and Six Sigma principles enhanced by digital analytics Establish connect with Local and Global Eaton IT for standard best practices / processes Establish connect with external standard commercial software providers to seek support and solutions Participates in internal open innovation events with businesses & other research groups"

Qualifications:

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Masters / Bachelors degree (with relevant experience) in Mechanical Engineering / Manufacturing Engineering

0-1 Years for Masters; 3-5 years for Bachelors industrial experience working with AI/ML, LML, CVML solution - implementing for manufacturing engineering problems

Skills:

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"o Excellent knowledge & Experience in machine learning models, development methods

Working experience with demonstrated projects on application of machine learning for insights and decision making in Manufacturing / engineering processes Excellent proficiency in programming languages - Python, LLM, RAG Working experience with manufacturing environment Six Sigma certifications are a plus. Excellent communication skills in English (verbal and written) Awareness of manufacturing processes and product design process is a plus"

"oSelf-motivated; Passionate to bring own ideas to applications.

Networking ability across organization to understand critical business problems that require materials and manufacturing based solutions Strong oral and written communication skills. Demonstrated ability to analyze and resolve problems. Good interpersonal skills - flexibility to adapt to persons with different geographical, ethnic, educational backgrounds. * Ability to document, plan, and execute programs. Established project management skills while handling multiple projects"