Specialist Solution Architect - Machine Learning

LU-Luxembourg
7 months ago
Job ID
508381
Amazon Web Services LUX Sarl

Job Description

Amazon Web Services (AWS) is looking for an experienced Machine Learning Solutions Architect, who will be the Subject Matter Expert (SME) for designing deep learning and machine learning solutions that leverage AWS services to increase availability and drive down costs for customers. The Machine Learning Solutions Architect will partner closely with the Deep Learning Business Development and Sales teams, to enable large-scale customer use cases and drive the adoption and revenue of AWS Machine Learning services. The Machine Learning SA will develop white papers, blogs, reference implementations, and presentations to enable customers and 3rd parties to fully leverage AWS AI services. The Machine Learning SA will also create field enablement materials for the broader SA population, to help other SA’s understand how to integrate AWS Deep Learning and Machine learning options into customer architectures.

Amazon aims to be the most customer centric company on earth. Amazon Web Services (AWS) provides a highly reliable, scalable, low-cost infrastructure platform in the cloud that powers critical applications for hundreds of thousands of businesses in 190 countries around the world.
At AWS, customer obsession is in our DNA. The successful candidate will become a trusted advisor to our customers and will work with AWS sales, business development, solutions architecture and product teams to develop the internal expertise needed to drive this exciting area forward.

Basic Qualifications

  • Experience with highly distributed, multi-tenet systems with clear state-full/state-less boundaries.
  • Technical consulting and architecture with large-scale engagements
  • Experience communicating effectively across internal and external organizations, for complex mission-critical solutions
  • Experience with experimentation and statistics.
  • Experience with machine learning, deep learning, data mining, and/or statistical analysis tools such as R, Numpy and MATLAB/Octave
  • Strong verbal and written communications skills are a must, as well as the ability to work effectively across internal and external organizations and virtual teams.
  • Demonstrated effectiveness working across multiple business units to achieve results
  • An understanding of the cloud computing delivery model
  • Knowledge of underlying infrastructure requirements such as Networking, Storage, Hardware, and Sensor optimisation and engineering.

Preferred Qualifications

  • Masters or Ph.D degree in computer science.
  • Professional experience architecting/operating solutions built on AWS
  • Experience with applying machine learning, neural networks or deep learning techniques to solve business problems
  • Experience in a customer-facing, sales-aligned role such as consultant, solutions engineer or solutions architect
  • Track record of implementing AWS services in a variety of business environments such as large enterprises and start-ups.
  • AWS Certification, eg. AWS Solutions Architect Associate
  • Understanding of application, server, and network security is highly desired.
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