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Machine Learning Engineer 5

Changing the world through digital experiences is what Adobe's all about. We give everyone—from emerging artists to global brands—everything they need to design and deliver exceptional digital experiences!
Machine Learning
Principal Software Engineer
In-Person
9+ years of experience
AI · Enterprise SaaS
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Description For Machine Learning Engineer 5

Join Adobe's Firefly Group and be at the forefront of innovative technology! As a Machine Learning Engineer 5, you'll play a critical role in crafting ML/AI-powered products that are reliable, scalable, and high-performing. You'll work on architecting and maintaining Kubernetes clusters, developing automation scripts, and implementing security measures. This role requires strong computer science fundamentals, experience with Cloud Platforms (preferably AWS), and proficiency in Java/Python and Shell scripting. You'll be part of a team that's transforming how companies interact with customers across every screen, using the latest technology and frameworks to empower engineers and researchers with world-class cloud solutions for ML workflows.

Key Responsibilities: • Architect, deploy, and maintain Kubernetes clusters • Lead containerized applications using Kubernetes • Develop automation scripts for infrastructure provisioning • Set up monitoring tools and implement alerting mechanisms • Investigate and resolve infrastructure issues • Implement security measures for Kubernetes clusters • Optimize performance and analyze resource usage • Collaborate with cross-functional teams • Provide mentorship to junior team members

Requirements: • B.Tech / M.Tech in Computer Science from a premier institute • 9+ years of proven experience in software development and operations • Strong computer science fundamentals • Experience with Cloud Platforms, preferably AWS • Proficiency in Java/Python and Shell scripting • Hands-on experience with Kubernetes • Strong problem-solving skills

Join Adobe and be part of a team that's changing the world through digital experiences!

Last updated 8 months ago

Responsibilities For Machine Learning Engineer 5

  • Architecting, deploying, and maintaining Kubernetes clusters
  • Leading containerized applications using Kubernetes
  • Developing automation scripts for infrastructure provisioning
  • Setting up monitoring tools and implementing alerting mechanisms
  • Investigating and resolving infrastructure issues
  • Implementing security measures for Kubernetes clusters
  • Optimizing performance and analyzing resource usage
  • Collaborating with cross-functional teams
  • Providing mentorship to junior team members

Requirements For Machine Learning Engineer 5

Java
Python
Kubernetes
Linux
  • B.Tech / M.Tech degree in Computer Science from a premier institute
  • 9+ years of proven experience in software development and operations
  • Strong computer science fundamentals
  • Experience with Cloud Platforms, preferably AWS
  • Proficiency in Java/Python and Shell scripting
  • Hands-on experience with Kubernetes
  • Strong problem-solving skills

Benefits For Machine Learning Engineer 5

  • Opportunity to work on innovative technology
  • Chance to be part of a team changing the world through digital experiences

Interested in this job?