Job Description
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.
- 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
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
- Excellent knowledge & Experience in machine learning models, development methods
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- 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
- 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, and execute programs. Established project management skills while handling multiple projects
Skills
Advanced AnalyticsPythonDeep LearningImplementationMachine LearningQuality AssuranceRoot Cause AnalysisAi/mlAnalyticsAiMlMachine VisionIf an employer asks you to pay any kind of fee, please notify us immediately. Jobaaj does not charge any fee from the applicants and we do not allow other companies also to do so.
About Company
In 1911, Joseph O. Eaton, brother-in-law Henning O. Taube and Viggo V. Torbensen, incorporated the Torbensen Gear and Axle Co. in Bloomfield, New Jersey. With financial backing from Torbensen's mother, the company was set to manufacture Torbensen's patented internal-gear truck axle. In 1914, the company moved to Cleveland, Ohio, to be closer to its core business, the automotive industry.
The Torbensen Axle Company incorporated in Ohio in 1916, succeeding the New Jersey corporation. A year later, Republic Motor Truck Company, Torbensen's largest customer bought out the company. But Eaton and Torbensen were not content and bowed out of Republic to form the Eaton Axle Company in 1919. A year later, in 1920, Eaton Axle Company merged with Standard Parts. Standard Parts went in receivership later the same year and was later liquidated. In 1923, Eaton bought the Torbensen Axle Co. back from Republic and changed the name to the Eaton Axle and Spring Company.
Eaton officers believed the quickest way to grow the business was through acquisitions and began buying companies in the automotive industry. By 1932, the diversified company changed its name to Eaton Manufacturing Company. In 1937, Eaton became international by opening a manufacturing plant in Canada. In 1958 Eaton Corporation acquired Fuller Manufacturing. The company name changed once again in 1965 to Eaton Yale & Towne Inc. after the acquisition of Yale & Towne Manufacturing Co. in 1963. Stockholders approved the change to the company's current name in 1971. In 1978, Eaton Corporation acquired Samuel Moore & Company, Kenway Systems, and Cutler-Hammer.
Important dates & deadlines?
Application Deadline
04 Apr 26, 04:03 PM IST
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Engineer - Intelligent Quality Solutions
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