Senior Data Scientist
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Job Location:
Monthly Salary:
Posted on:
7 hours ago
Vacancies:
1 Vacancy
Job Summary
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 cant 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 endtoend development ofcomputer visionandmultimodalmodels for defect detection segmentation classification and anomaly defection.
Design experiments select appropriate algorithms define success metrics and drive model iteration.
Codesign of digital inspection solutions (software hardware)
Define data and imaging requirements for cameras lighting laser/optical sensors and NDT equipment.
Codesign AIready repeatable inspection cells and workflows considering hardware constraints takt time and shopfloor conditions.
Support feasibility studies and PoCs integrating AI with robotic and NDT systems.
Data & pipeline engineering collaboration
Partner with data engineers onETL pipelinesand data architecture (e.g. data lake / bronzesilvergold layers on Databricks AWS S3).
Contribute to scalablemodel deployment and monitoringin production environments (onprem cloud and edge devices where applicable).
Domaindriven solution design & productization
Work withinspection specialists shop operations and repair engineersto understand inspection methods (visual Xray ultrasonic eddy current thermal etc.) and business requirements.
Translate shopfloor workflows inspection standards and quality criteria into data science problems and product features.
Collaborate withapplication developersand 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:
Masters or PhDin Computer Science Electrical/Computer Engineering Artificial Intelligence Applied Mathematics Statistics or a related quantitative field.
Candidates with a Bachelors 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 inmachine learning deep learning computer vision NDT robotics or industrial automationwill 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 problemsolving and influencing skills; comfortable in an ambiguous fastevolving 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
Relocation Assistance Provided: No
Required Experience:
Senior IC
Key Skills
- Laboratory Experience
- Mammalian Cell Culture
- Biochemistry
- Assays
- Protein Purification
- Research Experience
- Next Generation Sequencing
- Research & Development
- cGMP
- Cell Culture
- Molecular Biology
- Flow Cytometry
About Company
GE Aerospace is mobilizing a new era of growth in aerospace, aviation, and defense engineering. Explore GE Aerospace's commercial and general propulsion powers.
