Job Description Summary

We are establishing a new AI capability hub in Singapore focusing on digital inspection for aero engine overhaul shops and component repair facilities. As a Senior Data Scientist, you will be responsible for the design and development of AI/ML solutions for visual and NDT inspection, including defect detection, segmentation, and classification, and help industrialize these solutions into production pipelines.
You will work closely with inspection engineers, robotics/automation engineers, and NDT hardware specialists to co design end to end inspection solutions that tightly integrate AI models with imaging systems, robotic arms, laser/optical devices, and other inspection equipment. Your work will help create robust, repeatable and scalable inspection cells and workflows that improve safety, quality, delivery and cost across our MRO network.

Job Description

Company Overview:

Are you ready to see your career take flight? At GE Aerospace, we believe the world works better when it flies. We are a world-leading provider of jet engines, components, and integrated systems for commercial and military aircraft. We have a relentless dedication to the future of safe and more sustainable flight and believe in our talented people to make it happen.

 

Site Overview:

For more than 40 years, our advanced facilities in Singapore have led aerospace innovation across the Asia Pacific region. From automating processes to leveraging smart factory technologies, robotics, and additive manufacturing, GE Aerospace is shaping the future of aviation. Responsible for more than 60% of our global repair volume, our Singapore site is the largest site for engine component maintenance, repair and overhaul work. We can’t do this work without talented people like you.

 

Join us and be part of our journey to innovate and excel in the aerospace industry.

 

Role Overview:

Model development & technical leadership

• Lead end‑to‑end development of computer vision and multimodal models for defect detection, segmentation, classification and anomaly defection.

• Design experiments, select appropriate algorithms, define success metrics, and drive model iteration.

Co‑design of digital inspection solutions (software + hardware)

• Define data and imaging requirements for cameras, lighting, laser/optical sensors and NDT equipment.

• Co‑design AI‑ready, repeatable inspection cells and workflows, considering hardware constraints, takt time and shop‑floor conditions.

• Support feasibility studies and PoCs integrating AI with robotic and NDT systems.

Data & pipeline engineering collaboration

• Partner with data engineers on ETL pipelines and data architecture (e.g. data lake / bronze‑silver‑gold layers on Databricks, AWS S3).

• Contribute to scalable model deployment and monitoring in production environments (on‑prem, cloud, and edge devices where applicable).

Domain‑driven solution design & productization

• Work with inspection specialists, shop operations and repair engineers to understand inspection methods (visual, X‑ray, ultrasonic, eddy current, thermal, etc.) and business requirements.

• Translate shop‑floor workflows, inspection standards and quality criteria into data science problems and product features.

• Collaborate with application developers and UX engineers to integrate models into digital inspection applications, workstations and dashboards.

 

Ideal Candidate:

• The ideal candidate combines strong hands-on experience in computer vision and deep learning with a practical mindset for deploying models in real industrial environments. They are comfortable working at the intersection of AI, imaging and automation, collaborating closely with inspection, robotics and NDT engineers to turn complex shop-floor inspection workflows into robust, repeatable and scalable digital inspection solutions.

 

Required Qualifications:

• Master’s or PhD in Computer Science, Electrical/Computer Engineering, Artificial Intelligence, Applied Mathematics, Statistics, or a related quantitative field.

• Candidates with a Bachelor’s degree in a relevant discipline and strong, proven industry experience in computer vision, deep learning or industrial inspection are also encouraged to apply.

• Additional coursework, certifications or research experience in machine learning, deep learning, computer vision, NDT, robotics or industrial automation will be considered a strong plus.

• 5+ years in data science / ML, including 3+ years in computer vision or industrial inspection.

• Strong foundations in ML/DL; experience with CNNs, transformers, segmentation, object detection, and anomaly detection.

• Strong collaboration, problem‑solving and influencing skills; comfortable in an ambiguous, fast‑evolving environment.

 

Preferred Qualifications:

• Quick learner, strategically prioritizes work, committed

• Strong communicator, decision-maker, collaborative

• analytical-minded, challenges existing processes, critical thinker

 

At GE Aerospace, we have a relentless dedication to the future of safe and more sustainable flight and believe in our talented people to make it happen. Here, you will have the opportunity to work on really cool things with really smart and collaborative people. Together, we will mobilize a new era of growth in aerospace and defense. Where others stop, we accelerate.

Additional Information