Lead Engineer - Machine Learning

ion; Subang; On-site; USD 60.000 - 120.000; Full time

Job summary

Join a forward-thinking company as a Lead Research Engineer specializing in Machine Learning. In this exciting role, you will leverage advanced technology solutions to enhance aerospace products, focusing on AI/ML applications. Collaborate with a diverse team to validate and document innovative solutions, contributing to the future of sustainable flight. This position offers the chance to work on groundbreaking projects that push the boundaries of aerospace technology. If you are passionate about innovation and eager to make a significant impact, this opportunity is perfect for you.

Qualifications

• Doctorate or Master's in Engineering with relevant experience in AI/ML and controls.
• Experience in developing systems solutions for complex physical systems.

Responsibilities

• Develop and apply advanced technology solutions using AI/ML for aerospace products.
• Validate and document technology performance through simulations and reports.

Skills

AI/ML

Data Analytics

Optimization

Estimation Algorithms

Fault Detection Algorithms

Analytical Skills

Interpersonal Skills

Education

Doctorate in Engineering

Master's in Engineering

Tools

Python

Matlab

C++

C

NPSS

Job description

We are looking for top notch researchers to be part of our growing Software Controls and Optimization team at GE Aerospace Research. As a group, we innovate and execute on the R&D strategy for GE Aerospace on a range of problems from building predictive/prescriptive analytics for a variety of applications that improve process efficiencies in the business, engine faults to designing inspections solutions for aircraft engines.

Job Description

Company Overview

Working at GE Aerospace means you are bringing your unique perspective, innovative spirit, drive, and curiosity to a collaborative and diverse team working to advance aerospace for future generations. If you have ideas, we will listen. Join us and see your ideas take flight!

Site Overview

Established in 2000, the John F. Welch Technology Center (JFWTC) in Bengaluru is our multidisciplinary research and engineering center. Engineers and scientists at JFWTC have contributed to hundreds of aviation patents, pioneering breakthroughs in engine technologies, advanced materials, and additive manufacturing.

Essential Responsibilities

As a Lead Research Engineer - Machine Learning, you will:

• Work independently as well as with a diverse team to develop and apply advanced technology solutions to GE Aerospace products and services using modeling, optimization, estimation, or detection technologies, leveraging AI/ML to augment a physics-based understanding of systems.
• Validate performance of developed solution through simulations and application on target product to mature technology to be transferred to the GE business.
• Document technology and results through patent applications, technical reports, and publications.
• Stay current with advances in system technologies to seek out new ideas and applications.
• Work in a team environment with colleagues across GE Aerospace Research, and business units.

Qualifications/Requirements

• Doctorate degree in an Engineering field with a minimum of 3 years of experience in design of estimation, controls, AI/ML, or fault detection algorithms. Or a Master's degree in an Engineering field with a minimum of 7 years of experience in AI/ML, physics-based modeling, estimation, or fault detection algorithms.
• Knowledge and application of data analytics, optimization, estimation, or detection algorithms.
• Proficiency in Python or Matlab and familiarity with C & C++.
• Demonstrated experience (algorithm development and software implementation) in developing systems solutions for complex physical systems (e.g. mechanical systems, aviation systems, power systems, etc.).
• Demonstrated ability to lead teams and execute on large projects.

Desired Characteristics

• Experience with end-to-end development of digital products with exposure to problems in the aero/thermal domain.
• Strong analytical skills, familiarity with robust modeling/analysis techniques.
• Proficiency with use of NPSS for aerospace applications.
• Strong interpersonal skills.
• Self-motivated and ability to work independently and as part of a team.
• Experience leading teams which includes setting up schedules, milestones, technical reviews, tracking funding etc.
• Ability to communicate effectively with senior leadership.
• Demonstrated ability to take an innovative idea from a concept to a product.

About Us:

GE 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.

Closing comment:

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.