Engineer

Engineer - Intelligent Quality Solutions

Eaton is seeking an Engineer specializing in Intelligent Quality Solutions to join our team in Pune, Maharashtra, India. This role is instrumental in developing and deploying AI/ML and Computer Vision (CVML) based solutions to enhance manufacturing quality and efficiency.

The successful candidate will be responsible for the entire lifecycle of AI/ML solutions, from model selection and development to infrastructure for deployment. You will focus on enabling smart, automated quality assurance within advanced manufacturing environments. This includes designing, deploying, and optimizing AI-driven inspection systems leveraging computer vision, machine learning, and edge-based analytics to ensure product integrity and process efficiency.

Key responsibilities include:

• Developing AI/ML and CVML based solutions for manufacturing, quality control, and infrastructure deployment.
• Analyzing production data using advanced analytics to identify patterns, predict quality issues, and recommend corrective actions.
• Developing and maintaining machine vision algorithms for automated quality checks, analyzing image and video data to improve defect detection accuracy.
• Implementing AI-based visual inspection systems for real-time defect and anomaly detection using machine vision and deep learning models.
• Collaborating with cross-functional teams to integrate intelligent quality solutions into existing manufacturing processes and MES systems.
• Participating in root cause analysis using AI-powered insights to reduce recurring defects.
• Conducting trials and pilot runs for new intelligent inspection solutions.
• Staying updated on emerging AI and computer vision technologies relevant to manufacturing quality.
• Designing and validating inspection protocols using computer vision and image processing for dimensional accuracy and surface defect detection.
• Contributing to continuous improvement projects using Lean and Six Sigma principles enhanced by digital analytics.
• Establishing connections with external software providers for support and solutions.
• Participating in internal open innovation events.

Qualifications and Experience:

• Masters / Bachelors degree (with relevant experience) in Mechanical Engineering / Manufacturing Engineering.
• 0-1 years of industrial experience for Masters, or 3-5 years for Bachelors, working with AI/ML, LLM, or CVML solutions in manufacturing engineering problems.
• Excellent knowledge and experience in machine learning models and development methods.
• Working experience with demonstrated projects on applying machine learning for insights and decision-making in manufacturing/engineering processes.
• Excellent proficiency in programming languages: Python, LLM, RAG.
• Demonstrated ability to analyze and resolve problems.
• Good interpersonal skills and flexibility to adapt to diverse backgrounds.
• Ability to document, plan, and execute programs with established project management skills.
• Excellent communication skills in English (verbal and written).
• Awareness of manufacturing processes and product design process is a plus.
• Self-motivated with a passion for applying innovative ideas.
• Networking ability across the organization to understand critical business problems.

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.