Amazon Cloud Support Engineer - SVO Machine Learning Engineering 

South Africa, Western Cape, Cape Town 

838446873

ABOUT US
Amazon Web Services is the market leader and technology forerunner in the Cloud business. As a member of the AWS Support team you will be at the forefront of this transformational technology, assisting a global list of companies and developers that are taking advantage of a growing set of services and features to run their mission-critical applications. As a Cloud Support Engineer, you will act as the ‘Cloud Ambassador’ across all the cloud products, arming our customers with required tools & tactics to get the most out of their Product and Support investment.WHAT CAN YOU EXPECT FROM A LIFE AT AWS?
Every day will bring new and exciting challenges on the job while you:
· Learn and use groundbreaking technologies.
· Apply advanced troubleshooting techniques to provide unique solutions to our customers' individual needs.
· Interact with leading engineers around the world.· Leverage your extensive customer support experience to provide feedback to internal AWS teams on how to improve our services.
· Drive customer communication during critical events.
· Drive projects that improve support-related processes and our customers’ technical support experience.
· Write tutorials, how-to videos, and other technical articles for the developer community.
· Work on critical, highly complex customer problems that may span multiple AWS services.
Career development: We promote advancement opportunities across the organization to help you meet your career goals.Training: We have training programs to help you develop the skills required to be successful in your role.
Support engineers interested in travel have presented training or participated in focused summits across our sites or at specific AWS events.About the team
Diverse Experiences
Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.
Why AWS
Work/Life Balance
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

- Experience troubleshooting and debugging technical systems
- 1+ years of technical support, or 1+ years of software development experience
- Intermediate expertise in Machine Learning including but not limited to,
- Good Understanding of common Machine Learning algorithms such as Linear, Decision-Trees, Kmeans, etc.
- Experience with one or more Machine Learning Frameworks such as Tensorflow, Pytorch etc.
- Experience with training models, hyperparameter tuning, hosting and deployment of models
- Experience with data preparation techniques
- Experience with one of the programming/scripting languages (Batch, VB, PowerShell, Java, C#, Chef, Perl, Ruby and/or PHP)
- Experience with System Administration with Linux and/or Microsoft Windows Server
- Experience with Networking and troubleshooting (TCP/IP, DNS, routing, switching, firewalls, LAN/WAN, traceroute, iperf, dig, cURL or related)

- Bachelor’s degree in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field.
- Experienced with Linux system monitoring and analysis
- Good understanding of distributed computing environments
- Exposure to Virtualization (VMware, Xen, Hypervisor)
- Prior working experience with AWS - any or all of EC2, S3, EBS, ELB, Dynamo DB, EMR, Glue, Athena
- Exposure to security concepts / best practices