Amazon ML Specialist

3 days ago


Arlington, Virginia, United States Amazon Full time

We are seeking a highly skilled Amazon ML Specialist to join our team at Amazon. As a key member of our organization, you will be responsible for designing and implementing cutting-edge ML solutions that drive business growth and customer satisfaction.

The ideal candidate will have extensive experience in artificial intelligence, machine learning, and deep learning, with a strong background in software development and cloud computing. You will work closely with cross-functional teams to develop and implement innovative ML-powered solutions, leveraging Amazon Web Services (AWS) technologies such as SageMaker, Lex, and Rekognition.

With a strong focus on customer success, you will provide technical guidance and support to customers worldwide, helping them to leverage the full potential of AWS ML services. Your expertise will also contribute to the development of new ML-related features and services within AWS.

This is an excellent opportunity for a highly skilled and motivated individual to join our team and make a significant impact on the future of ML innovation.

About the role:

  • Design and implement ML solutions using AWS services such as SageMaker, Lex, and Rekognition
  • Provide technical guidance and support to customers worldwide
  • Contribute to the development of new ML-related features and services within AWS
  • Collaborate with cross-functional teams to develop and implement innovative ML-powered solutions

Requirements:

  • 8+ years of experience in software development, cloud computing, or related fields
  • 3+ years of experience in design, implementation, or consulting in applications and infrastructures
  • 10+ years of IT development or implementation/consulting in the software or Internet industries

Benefits:

  • A competitive salary range of $138,200 - $239,000 per year, based on location and experience
  • A comprehensive benefits package, including medical, financial, and other perks
  • Ongoing training and professional development opportunities
  • A collaborative and dynamic work environment


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