Systems Engineer, AI/ML

World's most comprehensive and broadly adopted cloud platform, pioneering cloud computing and continuous innovation.
$90,000 - $150,000
Cloud
Mid-Level Software Engineer
In-Person
5,000+ Employees
3+ years of experience
AI · Enterprise SaaS · Cloud

Description For Systems Engineer, AI/ML

AWS AI/ML team is seeking a Systems Engineer to join their world-class team supporting and operating some of the most comprehensive artificial intelligence and machine learning services globally. This role offers an exceptional opportunity to work with cutting-edge technologies like SageMaker, Bedrock, and Amazon Q while being part of AWS's massive cloud infrastructure. The position combines the excitement of a startup environment with the resources and scale of Amazon Web Services.

The ideal candidate will play a crucial role in operating and engineering systems at massive scale, gaining invaluable experience in cloud computing, artificial intelligence, and machine learning. You'll work alongside passionate professionals who prioritize customer success and continuous improvement. The role involves deep technical problem-solving, system optimization, and the development of innovative solutions for complex technical challenges.

Key aspects of the role include becoming a subject matter expert on multiple AWS services, developing and operating distributed systems, and contributing to the growth and improvement of AWS's AI/ML infrastructure. You'll have the opportunity to learn from senior Amazon engineers while working on some of the most advanced cloud computing systems in the world.

The position offers significant growth potential through mentorship, knowledge-sharing, and hands-on experience with cutting-edge technologies. AWS values diverse experiences and promotes an inclusive culture where innovation thrives through different perspectives. The company emphasizes work-life harmony and provides flexibility to ensure success both professionally and personally.

Join AWS to be part of a team that's shaping the future of cloud computing and artificial intelligence, while working on projects that impact millions of customers worldwide.

Last updated 20 hours ago

Responsibilities For Systems Engineer, AI/ML

  • Operating cloud computing infrastructure at scale
  • Developing, building, deploying, and operating services in cloud production environments
  • Becoming subject matter expert on multiple AWS services
  • Identifying opportunities for improvements using trends and metrics
  • Developing and refining team procedures
  • Building unique solutions to customer technical problems
  • Supporting and operating AI/ML services including SageMaker, Bedrock, and Amazon Q

Requirements For Systems Engineer, AI/ML

Python
Linux
  • Advanced knowledge in system administration (Linux and/or Windows)
  • Experience of systems automation using (Bash, Python, Perl, PowerShell, Batch)
  • Practical understanding of network fundamentals (DNS, DHCP, TCP/IP, routing, switching, HTTP)
  • Good troubleshooting skills at all levels, from application to network to host

Benefits For Systems Engineer, AI/ML

  • Career Growth Opportunities
  • Work-Life Balance
  • Mentorship Programs
  • Inclusive Work Environment

Interested in this job?

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