AI Innovation Leader

1 week ago

india beBeeMachineLearning Full time

Job DescriptionWe are seeking a skilled AI/ML Engineer to join our team and contribute to the development of our next-generation browser-based platform for geometric analysis and design for manufacturability (DFM).The successful candidate will have the opportunity to leverage advanced AI, computer vision, and computational geometry techniques to solve complex manufacturing challenges. This is a high-impact role that requires real-time, industrial-grade analysis directly in the browser, impacting product design, costing, and production globally.Key Responsibilities & ImpactDesign and implement machine learning models for geometric analysis of injection molded plastic parts.Develop computer vision algorithms for automated feature detection in 3D CAD models.Build predictive models for manufacturing cost estimation, cycle time prediction, and defect analysis.Create real-time inference engines optimized for browser-based deployment using TensorFlow.js/ONNX.js.Design data pipelines for continuous model training and improvement.Platform Architecture & 3D Web SystemsArchitect browser-based AI systems that process large 3D models efficiently.Integrate STEP/STL file processing with AI analysis workflows.Develop WebAssembly modules for high-performance geometry computation.Build scalable model serving infrastructure supporting real-time analysis.Manufacturing Analysis & DFMDevelop DFM analysis algorithms for wall thickness, draft angles, undercuts, and gate placement.Build moldflow simulation capabilities using AI-accelerated CFD techniques.Implement quality prediction models for common injection molding defects.Required Skills & QualificationsExperience: 3+ years of AI/ML engineering experience with production deployments.ML Proficiency: Strong proficiency in Python with TensorFlow, PyTorch, or similar ML frameworks.3D Geometry: Experience with 3D geometry processing using libraries like Open3D, PCL, or similar.Web AI: JavaScript/TypeScript expertise for browser-based AI deployment (TensorFlow.js, ONNX.js).Foundation: Strong background in linear algebra, calculus, computational geometry, and optimization techniques.CAD Knowledge: Understanding of CAD file formats (STEP, STL, OBJ) and 3D mesh processing.Software Engineering: Experience with WebAssembly development, Cloud platforms (AWS, GCP, Azure), and CI/CD best practices.

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