MLOps Engineer 3

Largeton Group • India
Remote
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AI Summary

Design and implement large-scale distributed systems, leveraging cloud technologies and machine learning frameworks. Develop automated deployment frameworks and software lifecycle modules. Collaborate with engineering and architecture teams to optimize system performance.

Key Highlights
100% remote work
5+ years of experience in industry
Advanced skills in machine learning and deep learning
Key Responsibilities
Design and implement large-scale distributed systems
Develop automated deployment frameworks and software lifecycle modules
Collaborate with engineering and architecture teams to optimize system performance
Technical Skills Required
Cloud technologies Docker Containerization AWS Microsoft Azure Scikit MLPack TF SparkMLib Caffe Python Java Shell Perl Ruby Micro-services REST APIs Databases Bash scripting CI/CD Version control tools Jenkins Git Perforce
Benefits & Perks
100% remote work
Nice to Have
Exposure to ROSA (Red Hat OpenShift Service on AWS)

Job Description


Job Title: MLOps Enginer 3 (India)

Onsite vs Remote: 100% Remote (candidates need to be based in India)

Interview method: 2 Virtual

Note

  • My manage can take calls on US EST time or India time
  • Candidates must have good English communication

Job Description

  • BTech in Computer Science (or equivalent)
  • Minimum 5+ years of meaningful experience in industry
  • Experience in building large-scale distributed systems
  • Experience with cloud technologies, Docker, Containerization
  • Experience with AWS or Microsoft Azure
  • Advanced skills in building automated deployment frameworks and software lifecycle modules.
  • Understanding of state-of-the-art Machine Learning techniques, Deep Learning, Recommendations and Computer Vision
  • Experience in machine learning frameworks – Scikit, MLPack, TF, SparkMLib, Caffe
  • Excellent proficiency in Python, Java, Shell, Perl, or Ruby.
  • Experience in micro-services, REST APIs, and databases
  • Bash scripting
  • Experience with CI/CD and version control tools such as Jenkins, Git, and Perforce.
  • Ability to optimize Linux systems and GPUs for high-scale architecture design
  • Strong communication abilities to work effectively across engineering and architecture teams.
  • Exposure to ROSA (Red Hat OpenShift Service on AWS) is considered a distinct advantage.

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