ML Architect

7 - 9 years

0 Lacs

Posted:5 days ago| Platform: Foundit logo

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Work Mode

On-site

Job Type

Full Time

Job Description

Summary:

The selected candidate will develop a deep learning-based crack detection algorithm for Company's BrakeView DiscAxle and BrakeView PadAxle systems. The project involves creating a PyTorch-based machine vision algorithm (MVA) to identify cracks in brake disk images, optimized for edge deployment.

Key Responsibilities:

  • Design and implement a computer vision algorithm for disk crack detection using PyTorch
  • Train and optimize deep learning models to achieve 95% accuracy
  • Optimize models for edge deployment (≤150MB size, ≤100ms inference)
  • Validate models using Company-provided datasets
  • Conduct UAT testing on production simulators
  • Participate in weekly code reviews and knowledge transfer sessions

Required Skills:

  • 7/8+ years of experience with Python and deep learning frameworks
  • Strong PyTorch experience (mandatory - not TensorFlow)
  • Computer vision experience with defect/anomaly detection
  • Experience optimizing models for edge deployment
  • Understanding of object detection metrics (mAP, IoU, precision/recall)
  • Familiarity with PEP 8 and code quality standards

#AditiIndia
#25-22404

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