AI Signal Processing Specialist

4 days ago

Madurai, Tamil Nadu, India beBeesignal Full time ₹ 1,50,00,000 - ₹ 2,00,00,000
About the Role

We are seeking a talented Ai Signal Processing Specialist with a strong background in signal processing, vibration analysis, and acoustic noise control.

The ideal candidate will have experience in deploying AI solutions on edge and IoT devices.

This role will involve designing, developing, and implementing AI algorithms to process and analyze various signal types and control noise in real-time applications.

Experience with Generative Ai and Predictive Analytics, particularly within the Oil, Gas (OG), and Manufacturing sectors, is a plus.

  • Develop and implement AI algorithms for signal processing, vibration analysis, and acoustic noise control.
  • Design and deploy AI models on edge and IoT devices.
  • Collaborate with cross-functional teams to integrate AI solutions into existing systems and products.
  • Perform data analysis and interpretation to improve and optimize AI models.
  • Work on real-time data processing and ensure efficient deployment on resource-constrained devices.
  • Conduct research and stay updated on the latest advancements in Ai, signal processing, noise control, Generative Ai, and Predictive Analytics.
  • Troubleshoot and resolve issues related to AI models and deployment on edge devices.

Designing, building, and training machine learning algorithms and models, including choosing appropriate frameworks like TensorFlow or PyTorch.


Key Responsibilities:

  • Design and develop AI algorithms for signal processing, vibration analysis, and acoustic noise control.
  • Implement AI models on edge and IoT devices.
  • Collaborate with cross-functional teams to integrate AI solutions into existing systems and products.
  • Analyze data to improve and optimize AI models.
  • Deploy AI solutions on resource-constrained devices.
  • Stay up-to-date on the latest advancements in AI, signal processing, noise control, Generative AI, and Predictive Analytics.
  • Troubleshoot and resolve issues related to AI models and deployment on edge devices.

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