.NDT Global is the leading provider of ultra-high-tech diagnostic inspection solutions, advanced data analysis, and integrity assessment services for ensuring the safety and longevity of energy-sector infrastructure assets.
Recognized as the forerunner in ultrasonic inspection technologies comprising Pulse Echo, Pitch-and-Catch, and Phased Array, as well as Acoustic Resonance (ART Scan) methodologies, the company also deploys a range of non-ultrasonic technologies, such as Inertial Measurement Units, with more under development.
NDT Global strategically applies its inspection technologies to detect, diagnose, and model various types of threat—circumferential or axial cracks, metal loss, geometry, mapping, and more—across diverse classes of assets.
By providing predictive, decision-ready insights driven by the world's most accurate data, NDT Global enables the conditions for asset owners to optimize infrastructure health and drive operational efficiencies while reducing risk and minimizing their carbon footprint.
Machine Learning Engineer - Python, Pytorch Purpose: The goal of the Machine Learning Engineer is to introduce new solutions based on machine learning, especially deep learning, to improve accuracy and efficiency of data analysis from data preparation, model training and testing to deployment in a productive environment.
Tasks: Applies supervised techniques, mostly deep learning techniques, for solving pattern recognition problems in ultrasound data (images, signals).
Understands and interprets data to come up with optimal feature sets.
Prepares datasets to train and validate models.
Ensures quality of the developed prototypes by software testing and code reviews.
Writes documentation of developed solutions and ensures knowledge transfer.
Requirements: University degree in Machine Learning or similar; alternatively relevant work experience (3 years plus) in machine learning, deep learning or similar.
Knowledge and experience in Pytorch, Tensorflow, Keras, or Jax is mandatory.
Python knowledge is mandatory.
Professional software development experience is preferred.
Spark knowledge is preferred.
Experience with git, git workflows, or contribution on GitHub is preferred.
Knowledge about standard Python data science stack is preferred.
English language skill is a must-have.
Benefits: Great long-term career prospects and development opportunities.
Challenging tasks in innovative and diverse teams.
Attractive compensation system.
Flexible working environment.
NDT Global is part of Previan, a fast-growing, innovative industrial technology group focused on advanced diagnostic technologies to monitor the world's infrastructure health.
The Group serves asset owners, large engineering firms, and service companies globally in markets such as Aerospace, Civil Infrastructures, Energy, Mining, Power Generation, and Rail