Job Description
GE Aerospace (NYSE: GE) is a global leader in aerospace propulsion, services, and integrated systems. Currently, it has approximately 44,000 in-service commercial aircraft engines worldwide. With a century-long history of innovation and profound industry expertise, GE Aerospace is committed to inventing the future of flight, lifting people up, and bringing them home safely.
Site Overview
For 45 years in China, GE Aerospace has committed to developing and investing in China’s aviation industry with reliable, efficient, sustainable, and outstanding products and services. GE Aerospace and its joint venture CFM have served more than 60 airline customers in the Greater China Region, with over 7700 engines in service and nearly 5000 engines on order. We are devoted to the market’s quality growth propelled by technological innovation and digitalization. Together with our partners, we are shaping a sustainable future of flight that helps the industry reach its carbon-neutral goal for the benefit of us all tomorrow.
Role Overview
You will be at the forefront of developing analytics to support GE’s Industrial Internet Solutions in the Aviation business. Participate in Aviation industry big data processing, modeling and algorithm development to drive insight of operation efficiency, maintenance cost, services and asset optimization. Specifically, you will join the technical pod of computer vision and use machine learning algorithms to tackle aviation problems.
The Ideal Candidate
Required Qualifications
Preferred Qualifications
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.
Relocation Assistance Provided: No
GE Aerospace is a provider of jet and turboprop engines, as well as integrated systems for commercial, military, business and general aviation aircraft. It develops sustainable products and systems with next generation technologies that reduce CO2 emissions by 20% and improve fuel efficiency.
