Job Description
What you’ll do:
Develop, train, and validate machine learning models for regression, classification, clustering, and anomaly detection.
Work with time-series and multivariate sensor data for predictive maintenance, machine health monitoring, and operational analytics.
Implement feature engineering pipelines, including statistical features, rolling-window features, and domain-specific transformations.
Apply probabilistic and statistical methods such as Bayesian inference, uncertainty estimation, and Monte Carlo simulation where applicable.
Support financial and operational analytics models, including cost drivers, efficiency metrics, and performance trend analysis.
Deep Learning, Vision & Generative AI
Build and fine-tune deep learning models using PyTorch or TensorFlow (CNNs, sequence models, autoencoders).
Develop computer vision solutions for visual inspection, defect detection, image-based classification, and pattern recognition in manufacturing and operation...
Develop, train, and validate machine learning models for regression, classification, clustering, and anomaly detection.
Work with time-series and multivariate sensor data for predictive maintenance, machine health monitoring, and operational analytics.
Implement feature engineering pipelines, including statistical features, rolling-window features, and domain-specific transformations.
Apply probabilistic and statistical methods such as Bayesian inference, uncertainty estimation, and Monte Carlo simulation where applicable.
Support financial and operational analytics models, including cost drivers, efficiency metrics, and performance trend analysis.
Deep Learning, Vision & Generative AI
Build and fine-tune deep learning models using PyTorch or TensorFlow (CNNs, sequence models, autoencoders).
Develop computer vision solutions for visual inspection, defect detection, image-based classification, and pattern recognition in manufacturing and operation...
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