Machine Learning Engineer

Overview

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. The company 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, to provide predictive, decision-ready insights that help optimize infrastructure health and drive operational efficiencies while reducing risk and minimizing carbon footprint.

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.

Responsibilities

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

Bachelor’s or master's degree in computer science or a related field (PhD preferred)

Relevant work experience more than 1 year in machine learning, deep learning or similar

Experience working on end-to-end ML projects, from data collection to production-level deployment

Experience with image recognition, object detection, and other computer vision tasks

Experience with PyTorch is preferable; PyTorch lightning, loggers (W&B, neptune.ai...) a plus

Experiment tracking and reproducibility (hydra)

Experience training model in the cloud (ideally with AzureML)

Be able to read SQL databases

Familiarity with big data tools like Apache Spark for data manipulation is a plus

Experience with git, git workflows, or contribution on git hub is preferred

Must be proficient in spoken and written English

Skillset

Analytical mindset – Ability to break down complex problems and approach them with structured thinking

Curiosity & innovation – Passion for exploring new technologies and pushing boundaries in machine learning

Collaboration – Comfortable working in cross-functional, international teams and sharing knowledge openly

Clear communication – Able to explain technical concepts to both technical and non-technical stakeholders

Adaptability – Willingness to learn, iterate, and adapt to evolving tools, data, and business needs

Detail-oriented – Strong focus on accuracy, quality, and reliability in both code and results

Time management – Capable of managing multiple tasks and priorities in a flexible work environment

Cultural awareness – Appreciation for diverse perspectives in a global team setting

Self-driven learning – Proactive in staying up to date with the latest trends in ML and AI

Benefits

Competitive salary and comprehensive benefits package : Health Insurance, pension Plan, Gym Flex, eyecare, 23 days Annual leave

Flexible & Hybrid working : Our flextime model allows you to design your working day as it suits your needs

We think about the future : Individual training and development opportunities and professional development schemes

Opportunity to work with cutting-edge technologies and make a significant impact on our data strategy

International, intercultural and young working environment

Great company culture and office environment

Seniority level

Entry level

Employment type

Full-time

Job function

Engineering and Information Technology

Industries

Pipeline Transportation

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