Sr Machine Learning Engineer

General Electric - GE
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Job Description

Want to make a difference in the healthcare domain and ship groundbreaking technology of large-scale systems with deep learning and artificial intelligence? We are looking for a highly motivated individual, passionate about deep learning frameworks and tools to join the GE Healthcare. As the Machine Learning Engineer, you will work with Data Scientists and Platform Engineers on building world class AI tools in Healthcare domain.
GE Healthcare is a leading global medical technology and digital solutions innovator. Our Digital organization is structured around three major areas: Products & Platform, Go to Market and Centers of Excellence.

Job Description

Essential Responsibilities:

You will be expected to design, develop, maintain deep learning frameworks, tools, services. You need to have:

  • Knowledge in Machine learning and Deep Learning.
  • Experience in at least one popular deep learning frameworks (TensorFlow, Pytorch etc).
  • Practice strong software development/testing principles and best practices: Test-driven development (TDD), CI/CD, code refactoring, coding standards, etc.
  • Evaluate new AI & software tools through POCs and propose solutions for implementation
  • Document guides, systems design, reference architectures and implementations


Basic Qualifications:

  • Master’s Degree in a STEM” major (Science, Technology, Engineering, Mathematics)
  • 6+ years of professional experience
  • 2+ years of experience in public cloud infrastructure (AWS/other)
  • Strong implementation experience with a variety of high-level languages and frameworks such as Python, TensorFlow, Keras, Caffe, CNTK, etc.
  • GE Leadership Program Graduates will get credit towards relevant work experience, commensurate to the program they have completed

Company Info.

General Electric - GE

General Electric Company is an American multinational conglomerate incorporated in New York City and headquartered in Boston. As of 2018, the company operates through the following segments: aviation, healthcare, power, renewable energy, digital industry, additive manufacturing and venture capital and finance.

  • Industry
    Manufacturing,Power Supply,Aviation,Healthcare
  • No. of Employees
  • Location
    Boston, Massachusetts, USA
  • Website
  • Jobs Posted

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