AI based predictive maintenance in vibration analysis, focused on Data Science & Mechanical Engineering
Budget: ₹1,500 – ₹12,500 INR
AI/Data Scientist & Mechanical Engineer Needed for Vibration Analysis & Predictive Maintenance
seeking a skilled Data Scientist & Mechanical Engineer with expertise in vibration analysis and predictive maintenance to analyze sensor datasets and develop AI-driven failure prediction models.
Responsibilities:
✅ Analyze vibration sensor data to detect mechanical issues before failure occurs.
✅ Develop AI/ML models for predictive maintenance using labeled datasets.
✅ Implement feature extraction techniques (FFT, STFT, signal processing).
✅ Apply machine learning & deep learning for anomaly detection and failure prediction.
✅ Create simulations in MATLAB/Python to validate predictive algorithms.
Mechanical Engineering + Data Science background, with hands-on experience in vibration analysis, coding/MATLAB.
Strong understanding of mechanical failures, rotating machinery/bearings, and predictive maintenance strategies.
Experience handling and interpreting accelerometer/vibration sensor data.
Proficiency in Python, MATLAB, TensorFlow/Keras, Git Hub, Kaggle and signal processing techniques.
Familiarity with time-series analysis, feature extraction, and AI/ML model development/
seeking a skilled Data Scientist & Mechanical Engineer with expertise in vibration analysis and predictive maintenance to analyze sensor datasets and develop AI-driven failure prediction models.
Responsibilities:
✅ Analyze vibration sensor data to detect mechanical issues before failure occurs.
✅ Develop AI/ML models for predictive maintenance using labeled datasets.
✅ Implement feature extraction techniques (FFT, STFT, signal processing).
✅ Apply machine learning & deep learning for anomaly detection and failure prediction.
✅ Create simulations in MATLAB/Python to validate predictive algorithms.
Mechanical Engineering + Data Science background, with hands-on experience in vibration analysis, coding/MATLAB.
Strong understanding of mechanical failures, rotating machinery/bearings, and predictive maintenance strategies.
Experience handling and interpreting accelerometer/vibration sensor data.
Proficiency in Python, MATLAB, TensorFlow/Keras, Git Hub, Kaggle and signal processing techniques.
Familiarity with time-series analysis, feature extraction, and AI/ML model development/