Digital Technology Advisor - Data Science(Head of Computer Vision)

Digital Technology Adviser – Data Science

Head of Computer Vision & Image/Video Analytics

About The Role

Waygate Technologies is a global leader in industrial inspection solutions, combining advanced hardware, software, and digital technologies to support asset integrity and reliability across critical industries. Join us in transforming the future of aircraft engine inspection through AI-powered visual analytics. We are looking for a inspiring technology leader to drive innovation in Computer Vision, Edge AI, and Borescope Analytics, delivering cutting-edge solutions that enhance inspection accuracy, productivity, and aviation safety. You will lead/mentor a team of highly skilled engineers and data scientists while shaping the next generation of intelligent inspection technologies.

Key Responsibilities

Lead the vision, strategy, and delivery of AI-powered borescope inspection analytics.
Design and deploy advanced Computer Vision and Machine Learning solutions for image and video analysis.
Develop algorithms for defect detection, anomaly detection, object recognition, segmentation, and visual search.
Drive Edge AI deployment, optimization, and performance tuning on inspection devices.
Establish scalable MLOps practices and cloud-native AI solutions using AWS.
Lead, mentor, and grow a high-performing team of Data Scientists and Computer Vision Engineers.
Partner with global product, engineering, and business teams to deliver customer-centric innovations.
Influence technology roadmap and drive adoption of emerging AI capabilities across inspection platforms.

Required Qualifications

Bachelor's or master's degree in computer science, Artificial Intelligence, Data Science, Machine Learning, or related field.
10-15+ years of experience in Computer Vision, Machine Learning, AI, or Data Science solutions.
Deep expertise in OpenCV, Classical Image Processing, Deep Learning, and Video Analytics.
Hands-on experience with PyTorch, TensorFlow, YOLO, and modern Computer Vision frameworks.
Strong experience in Object Detection, Classification, Segmentation, Defect Detection, and Anomaly Detection.
Experience leveraging Vision Language Models (VLMs), Multimodal AI, and Generative AI to advance automated defect recognition, inspection assistance, visual search, and engineering knowledge discovery.
Proven expertise deploying AI models using ONNX Runtime, OpenVINO, and Edge AI technologies.
Experience building cloud-native ML solutions using AWS SageMaker and modern MLOps practices.
Strong knowledge of ML CI/CD, REST APIs, Microservices, Git, and DevOps methodologies.
Demonstrated success leading complex AI initiatives from concept to production.
Exceptional leadership, stakeholder management, and executive communication skills.
Experience in Aviation, Remote Visual Inspection (RVI), Industrial Inspection, NDT, or related domains is highly desirable.
Passion for innovation, technical excellence, and developing world-class engineering teams.

Be part of a team redefining how critical aircraft assets are inspected through AI, Computer Vision, and intelligent automation. 🚀

The Baker Hughes internal title for this role is: Digital Technology Advisor - Data Science

About Us

We are an energy technology company that provides solutions to energy and industrial customers worldwide. Built on a century of experience and conducting business in over 120 countries, our innovative technologies and services are taking energy forward – making it safer, cleaner and more efficient for people and the planet.

Join Us

Are you seeking an opportunity to make a real difference in a company that values innovation and progress? Join us and become part of a team of people who will challenge and inspire you! Let’s come together and take energy forward.

Baker Hughes Company is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.

R167844