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Machine Learning Engineer

Machine Learning Engineer

RecroBhubaneshwar, Republic Of India, IN
30+ days ago
Job description

Job Description : AI / ML Engineer (3D Geometry & Manufacturing)

We are seeking an exceptionally talented and entrepreneurial AI / ML Engineer and build our next-generation browser-based platform for geometric analysis and Design for Manufacturability (DFM). If you are passionate about leveraging advanced AI, computer vision, and computational geometry to solve complex, real-world manufacturing challenges, we want to talk to you.

This is a high-impact role focused on bringing real-time, industrial-grade analysis directly to the browser, impacting how products are designed, costed, and produced globally.

Key Responsibilities & Impact

🧠 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 .
  • 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.
  • 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.
  • Implement quality prediction models for common injection molding defects.
  • Required Qualifications (Must-Haves)

  • 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 ).
  • 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.
  • Preferred Qualifications (Bonus Points)

  • Domain Expertise : Manufacturing engineering background in injection molding or similar processes.
  • Advanced AI : Experience with Graph Neural Networks (GNN) for CAD geometry, Physics-Informed Neural Networks (PINNs) , or Reinforcement Learning for design optimization.
  • Full Stack : Real-time rendering with WebGL / Three.Js.
  • Startup Experience : Experience at high-growth startups building technical products from scratch for production.
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    Machine Learning Engineer • Bhubaneshwar, Republic Of India, IN

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