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    Research Engineer - Bengaluru, India - GE Aerospace

    GE Aerospace
    GE Aerospace Bengaluru, India

    1 week ago

    Default job background
    Paid Work
    Description

    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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