Senior Machine Learning Engineer

About NDT Global

NDT Global is the leading provider of inline diagnostic solutions, advanced data insights, subsea inspection, and integrity management services that safeguard energy-sector infrastructure. The company is recognized for its expertise in both ultrasonic inspection technologies—such as Pulse Echo, Pitch-and-Catch, Phased Array, and Acoustic Resonance (ART Scan)—and ultra-high-resolution Magnetic Flux Leakage (MFL) inspection services. These differentiated offerings, along with non-ultrasonic technologies like Inertial Measurement Units and others in development, enable NDT Global to deliver comprehensive asset integrity solutions.

Innovation is at the core of NDT Global's mission. We continuously challenge the boundaries of existing technologies to deliver transformational solutions that empower the industry to achieve safer, more cost-effective pipeline management. Our commitment to research and development drives the creation of vital new methods and tools that address the evolving needs of our customers while setting new industry standards.

By strategically applying inspection technologies to detect, diagnose, and model various types of threats, NDT Global provides predictive, decision-ready insights. These insights, driven by the world’s most accurate data, enable asset owners to optimize infrastructure health, drive operational efficiencies, reduce risk, and minimize their 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.

Tasks

• Applies supervised techniques, mostly deep learning techniques, for solving pattern recognition problems in ultrasound data (images, signals)
• AI model training and research
• Take ownership of end to end projects from proposing technical solutions, model development, technical project management, results communication to stakeholders, until handover the solution to the production team
• Mentoring and support our Machine Learning junior members
• Understands and interprets data to come up with optimal feature sets or images
• Prepares datasets to train and validate models
• Ensures quality of the developed prototypes by following good software practices 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 5 years, in deep learning (preferred image related)
• 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.
• Must be proficient in spoken and written English
• Proficiency in
• Python
• PyTorch/TensorFlow/Jax
• Experiment tracking (ex: W&B, MLFLow or similar)
• Nice to have
• Be able to read SQL databases
• 2 years of experience with classical ML
• Experience with big data tools like Apache Spark for data manipulation is a plus.
• Cloud experience like: Azure ML, AWS sagemaker or Vertex AI
  

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

• Great long-term career prospects and development opportunities
• Challenging tasks in innovative and diverse teams
• Attractive compensation system
• Flexible working environment