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▷ [Urgent Search] Computer Vision Engineer

▷ [Urgent Search] Computer Vision Engineer

RecroIndia
4 hours ago
Job description

AI Engineer - Manufacturing Analysis Platform

Role Overview

We're seeking a passionate AI Engineer to lead the development of our core AI analysis engine. You'll be architecting and implementing machine learning models that can analyze 3D CAD geometry in real-time, predict manufacturing issues, and provide actionable recommendations to improve design manufacturability. This is a founding engineering role with significant ownership and growth potential.

Key Responsibilities

AI / ML Development

  • 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
  • Design data pipelines for continuous model training and improvement

Platform Architecture

  • Architect browser-based AI systems that can 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
  • Implement feedback loops to continuously improve model accuracy
  • Manufacturing Analysis

  • Develop DFM analysis algorithms for wall thickness, draft angles, undercuts, gate placement
  • Build moldflow simulation capabilities using AI-accelerated CFD techniques
  • Create cost optimization engines that recommend design changes for manufacturability
  • Implement quality prediction models for common injection molding defects
  • Design automated report generation with actionable manufacturing insights
  • Research & Innovation

  • Stay current with AI / ML advances in manufacturing and CAD analysis
  • Experiment with cutting-edge techniques like neural radiance fields, graph neural networks for 3D data
  • Collaborate with manufacturing experts to validate and improve AI recommendations
  • Publish research and represent the company at industry conferences
  • Required Qualifications

    Technical Expertise

  • 4+ years of AI / ML engineering experience with production deployments
  • Strong proficiency in Python with TensorFlow, PyTorch, or similar ML frameworks
  • Experience with 3D geometry processing using libraries like Open3D, PCL, or similar
  • JavaScript / TypeScript expertise for browser-based AI deployment (TensorFlow.js, ONNX.js)
  • Computer vision and geometric deep learning experience
  • Understanding of CAD file formats (STEP, STL, OBJ) and 3D mesh processing
  • Experience with fine tuning ML models
  • Software Engineering

  • WebAssembly development for high-performance browser applications
  • Cloud platform experience (AWS, GCP, Azure) for model training and deployment
  • Database design for handling large geometric datasets
  • Version control and CI / CD best practices
  • Mathematical Foundation

  • Strong linear algebra and calculus background
  • Statistics and probability for uncertainty quantification
  • Computational geometry and mesh processing algorithms
  • Optimization techniques for design parameter tuning
  • Preferred Qualifications

    Domain Knowledge

  • Manufacturing engineering background in injection molding or similar processes
  • CAD software experience (SolidWorks, Fusion 360, etc.)
  • Finite element analysis (FEA) or computational fluid dynamics (CFD) experience
  • Materials science knowledge for plastic properties and behavior
  • Advanced Technical Skills

  • Graph neural networks for representing CAD geometry
  • Reinforcement learning for design optimization
  • Physics-informed neural networks for manufacturing simulation
  • Edge computing and model compression techniques
  • Real-time rendering with WebGL / Three.js
  • Education & Experience

  • Bachelors or Masters in Computer Science, Engineering, or related field
  • 2+ years in manufacturing technology or CAD software companies
  • Experience at high-growth startups building technical products from scratch for production
  • Open source contributions in AI / ML or manufacturing tools
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    Computer Vision Engineer • India