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Amazon Cloud Support Engineer - Sagemaker Vision & Engineering 
Mexico, Michoacán, Zamora 
674416618

20.11.2024
DESCRIPTION

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.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.
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 BalanceMentorship and Career Growth
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.

BASIC QUALIFICATIONS

- Good depth of understanding in Machine Learning concepts, such as common ML algorithms and their uses and data preparation techniques.
- Good depth of understanding in Hadoop Administration, support and troubleshooting (Any two applications: Apache Spark, Apache Hive, Presto, Map-Reduce, Zookeeper, HBASE, HDFS and Pig.)
- Good understanding of Linux and Networking concepts and Intermediate programming/scripting skills. Ideally in Java or Python, but will consider experience in other Object Oriented and Functional languages.


PREFERRED QUALIFICATIONS


- Intermediate to advanced expertise in Machine Learning experience: supervised learning (regression), supervised learning (classification)
- Experience with data preparation techniques for training
- Experience with training models, hyperparameter tuning, hosting and deployment of models
- Good Understanding of common ML algorithms such as Linear Learner, Decision-Trees,Kmeans etc.
- Experience with one or more ML Frameworks such as Tensorflow, Pytorch etc