Cloud Support Engineer - SVO, Support Engineering at Amazon

Basic Qualifications

• As a part of the AI/ML team, a Cloud Support Engineer will support customers who leverage AWS AI/ML services to build train and deploy models to solve various business problems. Helping customers to use and integrate services like Sagemaker , Personalize ,Forecast, Lex and Transcribe among others. However, we do not expect you to know all of these and we provide extensive training to successful candidates. At a minimum, you must have the following qualifications/skills to apply:

BASIC EXPERIENCE/SKILLS

• 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
• Intermediate programming/scripting skills. Ideally in Java or Python, but will consider experience in other Object Oriented and Functional languages.
• Excellent oral and written communication skills with multi-tasking ability. Should be a self-starter who is excited about learning new technology.
• Open to working non-standard hours (no night shifts) including a Sun-Mon or Fri-Sat weekend
• Strong troubleshooting skills

Preferred Qualifications
PREFERRED EXPERIENCE/SKILLS

• Bachelor’s degree in Information Science / Information Technology, Computer Science, Engineering, Mathematics, Physics, or a related field
• 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
• Proficient in Hadoop Map-Reduce and its Eco System [ Hive, HBASE, Spark, Presto etc.].
• Python and shell scripting
• Good understanding of distributed computing environments
• Customer service experience / strong customer focus
• Experience building docker images and troubleshooting container related issues
• Prior working experience with AWS - any or all of EC2, S3, EBS, EMR
• Experienced with Linux system monitoring and analysis (disk management, memory management, permissions etc.)
• Good understanding of Networking concepts and protocols (DNS, TCP/IP, DHCP, HTTPS, etc.)
• Strong coding skills
• Good understanding of distributed computing environments
• Customer service experience / strong customer focus
• Experience building docker images and troubleshooting container related issues