drjobs Machine Learning Engineer

Machine Learning Engineer

Employer Active

1 Vacancy
drjobs

Job Alert

You will be updated with latest job alerts via email
Valid email field required
Send jobs
Send me jobs like this
drjobs

Job Alert

You will be updated with latest job alerts via email

Valid email field required
Send jobs
Job Location drjobs

Noida - India

Monthly Salary drjobs

INR 800000 - 1200000

Vacancy

1 Vacancy

Job Description

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!

aws,scikit-learn,fft,pytorch,stft,cloud platforms,filtering methods,numpy,machine learning,acoustics,pandas,classification models,predictive maintenance,gcp,azure,vibration analysis,anomaly detection,feature engineering,python,tensorflow,cwt,signal processing algorithms,dsp techniques,time series data analysis,sensor data acquisition

Employment Type

Full Time

Company Industry

About Company

Report This Job
Disclaimer: Drjobpro.com is only a platform that connects job seekers and employers. Applicants are advised to conduct their own independent research into the credentials of the prospective employer.We always make certain that our clients do not endorse any request for money payments, thus we advise against sharing any personal or bank-related information with any third party. If you suspect fraud or malpractice, please contact us via contact us page.