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 At Baker Hughes, we are transforming the future of energy. With operations in over 120 countries, we are developing and deploying industry-leading technologies and services to take energy forward. For more than a century, our inventions have revolutionized energy. Today, we are bringing our expertise to make oil and gas safer, cleaner, and more efficient. Our people are the trusted experts, relied on to solve customer challenges big and small. We invest in the health and well-being of our workforce, train and reward talent, and develop leaders at all levels to bring out the best in each other. We believe in creating an environment of diversity and inclusion, without bias. We know we are better when all of our people are developed, engaged, and able to bring their whole authentic selves to work. We're makers, inventors, and leaders who aren't afraid of the tough challenges. We believe pushing boundaries will help to lead the way for a new energy future.