What You'll Do
The successful candidate will be responsible for leading the efforts of development of plant scale quality monitoring & assurance solutions specifically driven thru AI/ML/CVML based methods. This role demands a strong technical foundation combined with leadership capabilities to drive AI-powered automation, vision-based quality control, and data-driven process improvements. The Lead Engineer will collaborate across engineering, plant operations, plant quality and digital teams to integrate cutting-edge technologies such as computer vision, machine learning, and advanced robotics into production environments, ensuring zero-defect manufacturing, operational efficiency, and scalability. Additionally, candidate is expected to build global eco-system thru internal collaborate along with external technology partners to adopt emerging solutions for intelligent quality management. 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
