Machine Learning Engineer

3 years

0 Lacs

Posted:10 hours ago| Platform: Linkedin logo

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Work Mode

On-site

Job Type

Full Time

Job Description


AI/ML Engineer

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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