Principal Technical Trainer- Machine Learning

US, CA, Virtual Location - California

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Posted 1 month ago

Amazon Web Services provides a highly reliable, scalable, low-cost infrastructure platform in the cloud that powers hundreds of thousands of businesses in 190 countries around the world. We are also helping large enterprise build Machine and Deep Learning models on the AWS Cloud and developing variety of Artificial Intelligence solutions.

To meet the growing demand for AWS Services and Artificial Intelligence/Machine Learning/Deep Learning on the AWS cloud around the globe, we need exceptionally talented, bright, and driven people. If you have strong AI/ML/DL and/or IT infrastructure and/or programming experience, and can communicate highly technical concepts to audiences at different stages in the AWS journey, we’d like to speak with you.

We are looking for a dynamic, organized self-starter to join our Training Team.

Here’s your chance to work as Technical Trainer with high visibility and significant customer impact. The successful candidate is passionate about helping customers and partners learn technology, ideally having hands-on experience with Amazon Web Services and/or in-depth knowledge of AI/ML/DL, software architecture and virtualization technologies.

In this role, you will deliver training content to developers, administrators, architects, and partners to drive adoption and usage of AWS services and AI/ML/DL. You’ll have an opportunity to combine a passion for teaching, with enthusiasm for technology, to drive learning and establish positive customer relationships. You must have excellent communication skills and proven technology training experience. You will be expected to:

· Deliver classroom and on-line training to customers and partners.
· Assist in developing and maintaining training content, lab exercises, presentations, and accompanying materials.
· Mentor internal and external authorized instructors as part of a train the trainer program.
· Provide thought Leadership – Evangelize AWS ML services and share best practices through forums such as AWS blogs, whitepapers, reference architectures and public-speaking events such as AWS Summit, AWS re:Invent, etc.
· Act as a technical liaison between customers and the ML services engineering teams to provide customer driven product improvement feedback.
· Develop and support an AWS internal community of ML related subject matter experts in the AMERICAS.
If this position excites you, please submit your resume using the link below and include a cover letter outlining your motivation, experience and why you want to join our team!

Basic Qualifications

· Technical degree (i.e. Computer Science) or relevant work experience required in managing AI/ML/DL programs.
· Excellent oral presentation skills, interpersonal communication, and writing skills.
· A strong “stage presence” and ability to manage a classroom of adult learners.
· Recent coding experience in one or more of the following languages, Java, .Net, Perl, PHP, Ruby,Python and/or R.
· Use Deep Learning frameworks like MXNet, Caffe 2, Tensorflow, Theano, CNTK, or Keras to build DL models.
· AWS Certified Solution Architect - Associate Level
· Ability to travel as required.

Preferred Qualifications

· AWS Certified Machine Learning Specialty
· Experience creating and maintaining training materials
· Knowledge and/or hands-on experience with AI/ML/DL and AWS infrastructure services highly desired.

** For more information on AWS, please visit ** Amazon is an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation / Age. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Job tags: AI AWS Deep Learning Engineering Java Keras Machine Learning ML MXNet Perl Python R Ruby TensorFlow Theano Travel