We are seeking a highly skilled Machine Learning Engineer with expertise in time series data analysis anomaly detection and classification models. The ideal candidate will have a strong background in vibration and acoustic data analysis along with signal processing algorithms. This is an onsite role based in Noida.
Key Responsibilities
- Develop and deploy machine learning models for predictive maintenance focusing on time series data.
- Implement and optimize anomaly detection classification and clustering techniques for vibration and acoustic signals.
- Work with Fourier Transform Wavelet Transform Envelope Detection and other signal processing techniques.
- Process and analyze raw sensor data to extract meaningful features.
- Collaborate with hardware and software teams to integrate ML models into our predictive maintenance platform.
- Optimize models for deployment on edge devices where applicable.
- Continuously research and implement the latest advancements in machine learning and signal processing.
Required Skills & Qualifications
- 3 years of experience in machine learning focusing on time series data anomaly detection and classification.
- Strong background in vibration analysis acoustics and signal processing algorithms.
- Proficiency in Python TensorFlow PyTorch scikitlearn NumPy Pandas.
- Handson experience with feature engineering for sensor data.
- Knowledge of DSP techniques including FFT STFT CWT and filtering methods.
- Experience working with sensor data acquisition and preprocessing.
- Familiarity with cloud platforms (AWS Azure GCP) and edge deployment is a plus.
- Strong problemsolving skills and ability to work in a fastpaced environment.
Preferred Qualifications
- Experience with Embedded Systems and IoT platforms for realtime data processing.
- Background in predictive maintenance and condition monitoring.
- Experience with unsupervised learning techniques for fault detection.
Why Join Us
- Opportunity to work on cuttingedge predictive maintenance technologies.
- Collaborate with a team of experts in machine learning signal processing and industrial automation.
- Competitive salary and benefits.
- Growth opportunities in a fastgrowing startup.
If you are passionate about AIdriven industrial solutions and want to make a real impact we would love to hear from you!
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