Data Scientist

We are seeking a talented AI Engineer with a strong background in signal processing vibration analysis and acousticnoise 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 realtime applications Experience with Generative AI and Predictive Analytics particularly within the Oil Gas OG and Manufacturing sectors is a plus

Key Responsibilities

Develop and implement AI algorithms for signal processing vibration analysis and acousticnoise control

Design and deploy AI models on edge and IoT devices

Collaborate with crossfunctional teams to integrate AI solutions into existing systems and products

Perform data analysis and interpretation to improve and optimize AI models

Work on realtime data processing and ensure efficient deployment on resourceconstrained 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

Qualifications

Bachelors or Masters degree in Electrical Engineering Computer Science Mechanical Engineering or a related field

Proven experience in signal processing vibration analysis and acousticnoise 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 OG and Manufacturing sectors is a plus