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1 day ago
We are seeking a talented AI Engineer 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 involves designing, developing, and implementing AI algorithms to process and analyze various signal types and control noise in real-time applications.
- 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.
- Bachelor's or Master's degree in Electrical Engineering, Computer Science, Mechanical Engineering, or a related field.
- Proven experience in signal processing, vibration analysis, and acoustic noise control.
- Strong programming skills in Python, MATLAB, or similar languages.
- Experience with AI frameworks and libraries such as TensorFlow, PyTorch, or similar.
- Knowledge of deploying AI models on edge and IoT devices.
- Familiarity with microcontroller programming and embedded systems.
- Strong analytical and problem-solving skills.
- Excellent communication and teamwork abilities.
- Experience with Generative AI and Predictive Analytics.
- Knowledge of the Oil & Gas and Manufacturing sectors is a plus.
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