AI Engineer

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-base...