Engineer - Intelligent Quality Solutions

Job Description As an engineer focused on developing AI/ML and CVML solutions for manufacturing, manufacturing quality, model selection, and infrastructure development, your role will involve: - Contributing to the design, deployment, and optimization of AI-driven inspection systems using computer vision, machine learning, and edge-based analytics to ensure product integrity and process efficiency. - Analyzing production data to identify patterns, predict quality issues, and recommend corrective actions. - Developing and maintaining machine vision algorithms for automated quality checks on production lines. - Analyzing image and video data to improve defect detection accuracy. - Implementing AI-based visual inspection systems for real-time defect detection using machine vision and deep learning models. - Collaborating with cross-functional teams to integrate intelligent quality solutions into manufacturing processes. - Supporting the integration of automated inspection systems with MES for seamless data flow. - 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 solutions. - Designing and validating inspection protocols using computer vision and image processing. - Contributing to continuous improvement projects using Lean and Six Sigma principles. - Establishing connections with internal and external stakeholders for best practices and solutions. - Participating in internal open innovation events with businesses and research groups. Qualifications: - Masters / Bachelors degree in Mechanical Engineering / Manufacturing Engineering with relevant experience. - 0-1 years of experience for Masters and 3-5 years for Bachelors in industrial AI/ML, LML, CVML solution implementation for manufacturing engineering problems. Skills: - Excellent knowledge and experience in machine learning models and development methods. - Working experience with demonstrated projects on applying machine learning in manufacturing/engineering processes. - Proficiency in programming languages such as Python, LLM, RAG. - Experience working in a manufacturing environment. - Six Sigma certifications are a plus. - Excellent communication skills in English. - Awareness of manufacturing processes and product design processes. Additional Details: - Self-motivated and passionate about bringing own ideas to applications. - Strong networking ability to understand critical business problems requiring materials and manufacturing-based solutions. - Excellent oral and written communication skills. - Good interpersonal skills and ability to adapt to diverse backgrounds. - Proficient in documenting, planning, and executing programs with established project management skills while handling multiple projects. As an engineer focused on developing AI/ML and CVML solutions for manufacturing, manufacturing quality, model selection, and infrastructure development, your role will involve: - Contributing to the design, deployment, and optimization of AI-driven inspection systems using computer vision, machine learning, and edge-based analytics to ensure product integrity and process efficiency. - Analyzing production data to identify patterns, predict quality issues, and recommend corrective actions. - Developing and maintaining machine vision algorithms for automated quality checks on production lines. - Analyzing image and video data to improve defect detection accuracy. - Implementing AI-based visual inspection systems for real-time defect detection using machine vision and deep learning models. - Collaborating with cross-functional teams to integrate intelligent quality solutions into manufacturing processes. - Supporting the integration of automated inspection systems with MES for seamless data flow. - 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 solutions. - Designing and validating inspection protocols using computer vision and image processing. - Contributing to continuous improvement projects using Lean and Six Sigma principles. - Establishing connections with internal and external stakeholders for best practices and solutions. - Participating in internal open innovation events with businesses and research groups. Qualifications: - Masters / Bachelors degree in Mechanical Engineering / Manufacturing Engineering with relevant experience. - 0-1 years of experience for Masters and 3-5 years for Bachelors in industrial AI/ML, LML, CVML solution implementation for manufacturing engineering problems. Skills: - Excellent knowledge and experience in machine learning models and development methods. - Working experience wit