Lead AI Computer Vision Architect

2 weeks ago


Bengaluru, Karnataka, India Artificial Intelligence Global Company Full time
  1. Key Responsibilities:
  2. Design and develop AI computer vision applications using industrial data captured from fixed cameras or drones.
  3. Analyze images for anomaly detection in complex industrial settings such as power plants, refineries, and petrochemical facilities.
  4. Select and implement classified image libraries and algorithms for developing anomaly detection applications.
  5. Program automated detection applications to analyze industrial data.
  6. Develop expertise in various imaging formats used in industrial settings.
  7. Support the installation and running of product demonstrations.
  8. Test and refine algorithms for analyzing videos and improving detection sensitivity.
  9. Evaluate and recommend state-of-the-art computer vision algorithms for specific applications.
  10. Develop automated applications for routine inspections using drones.
  11. Port, implement, and optimize analytics and machine learning algorithms using special purpose computing architectures.
  12. Provide secondary support and bug fixing for active applications at client sites.
  13. Contribute to expanding and sustaining the company knowledge base through training and mentoring.
  14. Establish technical performance benchmarks.
  15. Support the sales team with technical clarifications during the bidding process.
  16. Assist the project team with estimates, schedules, and resource loading.
  17. Develop solution architectures and generate drafts for design reviews.
  18. Help develop project documentation and client training materials.
  • Technical Skills & Experience:
  • 10+ years of experience in building computer vision applications using AI.
  • Hands-on experience with Python, C++ scripting languages, and industrial computer vision applications using AI.
  • Strong project experience in developing computer vision applications using OpenCV, TensorFlow, and Keras.
  • Experience in industrial automation use cases using computer vision AI.
  • Desirable: Certification in AI / Data Analytics / Deep Learning, personal Github account, and experience in real-time video analytics pipeline.
  • Process or Power industry experience is a plus.


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