AI Model Developer

2 weeks ago

dindigul, India beBeeMachine Full time

AI/ML Development and Real-time InferenceAs a Machine Learning Engineer, you will develop and implement AI models for geometric analysis of injection molded plastic parts, computer vision algorithms for automated feature detection in 3D CAD models, and predictive models for manufacturing cost estimation, cycle time prediction, and defect analysis.Design and implement ML 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.Key Responsibilities Include:AI/ML Development & Real-time Inference: Design and implement ML 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, and design data pipelines for continuous model training and improvement.Platform Architecture & 3D Web Systems: Architect 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, and build scalable model serving infrastructure supporting real-time analysis.Manufacturing Analysis & DFM: Develop DFM analysis algorithms for wall thickness, draft angles, undercuts, and gate placement, build moldflow simulation capabilities using AI-accelerated CFD techniques, and implement quality prediction models for common injection molding defects.Required Skills Include:Experience: 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).Fundamental: 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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