Lead Engineer - Intelligent Quality Solutions

anagement. For the internal talent development, supporting workforce upskilling in AI-enabled tools and smart manufacturing practices.

"• Serves as a technical lead and/or project lead for capability development and deployment adavnced quality solutions
• Development of CVML and LLM based models for quality detections
• Working with Eaton focus plant to indentify high value problem statement, develop and deploy solutions to relaize vlaue on operational efficiency and producitivity.
• Design and deploy scalable intelligent quality solutions integrating vision analytics, AI and machine learning for real-time decision-making and defect detection
• Collaborate with R&D, operations, quality and IT teams to integrate AI-driven solutions into manufacturing ecosystems
• Establish connect with Local and Global Eaton I4.0 business partner across division / sector for standard best practices / processes
• Integrate digital tools and analytics into traditional quality management processes to enable proactive, data-driven decision-making
• Use machine learning models to analyze production data, identify bottlenecks, and recommend efficiency improvements
• Engage with technology leaders and startups to adopt cutting-edge solutions for vision and automation
• Deploy machine learning models to identify systemic quality issues and accelerate resolution through predictive insights
• Implement collaborative robots (cobots) integrated with vision systems for precision inspection and ergonomic efficiency
• Contributes to the value proposition development for technical projects and programs
• Establish frameworks for continuous improvement using AI-powered analytics to enhance process capability and reduce variability
• Leverage generative design tools to optimize manufacturability and quality performance during early product development stages
• Participates in internal open innovation events with businesses & other research groups
• Mentor engineers on AI/ML fundamentals, fostering a culture of continuous learning and upskilling aligned with Industry 4.0 standards
• Develops as a subject matter expert through relevant trainings and participation in relevant industry events - network and stay comtemporary on topics in their field
• Gets trained on internal systems & processes and implements them towards projects"

Qualifications:

Masters in Mechanical Engineering / Manufacturing Engineering

7 Years relevant industrial experience working with AI/ML, LLM, CVML solution - implementing for manufacturing engineering problems

Skills:

"• Excellent knowledge & Experience in machine learning models, development methods
• Demonstrated experience developing and deploying quality monitoring solutions for plant quality monitoring / assurance in production
• Working experience with demonstrated projects on application of machine learning for insights and decision making in engineering processes
• Retrieval-Augmented Generation (RAG), Azure OpenAI API integration, and containerization using Docker and Kubernetes for scalable enterprise solutions
• Excellent proficiency in programming languages - Python, LLM
• Azure Cloud and Architecture certified professional with hands-on expertise in multimodal LLMs
• Six Sigma certifications are a plus.
• Excellent communication skills in English (verbal and written)
• Awareness of product design process and manufacturing processes is a plus"
"• Self-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, market, and execute programs. Established project management skills while handling multiple projects"