Research Engineer

3 weeks ago

Bengaluru, India GE Aerospace Full time

Job Description Summary

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

Job Description

As a Research Engineer – AI-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 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 or a Master’s degree in an Engineering field with a minimum of 4 years of background and experience in design of AI/ML algorithms.

  • Strong background in machine learning, deep learning, data analytics.

  • Proficiency in Python, C, C++, or Matlab.

  • Self-motivated and ability to work independently and as part of a team.

Desired Characteristics

  • Demonstrated experience (algorithm development and software implementation) in developing systems solutions for complex physical systems.

  • Strong analytical skills, familiarity with robust modeling/analysis techniques.

  • Expertise in generative AI/Deep Learning techniques as applied to industrial data.

  • Experience in training, fine-tuning, and deploying large language (and/or vision) models a plus.

  • Knowledge and background in application of state-of-the-art NLP / Computer Vision algorithms to industrial data.

  • Background in Knowledge Representation and Knowledge Graph technologies is a plus.

  • Ability to communicate effectively with senior leadership.

  • Demonstrated ability to take an innovative idea from a concept to a product.

Additional Information

Relocation Assistance Provided: Yes

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