DevOps Engineer specializing in MLOps

Location: Remote
Compensation: Salary
Reviewed: Mon, Apr 07, 2025
This job expires in: 10 days
Python AWS GCP Azure

Job Summary

A company is looking for a DevOps Engineer specializing in MLOps.

Key Responsibilities
  • Develop and manage a scalable and secure infrastructure for deploying TTS, STT, and LLM applications
  • Create and maintain CI/CD pipelines for continuous integration and deployment of various AI models
  • Work alongside ML engineers to optimize the training, validation, and deployment of speech and language models
Required Qualifications
  • Bachelor's degree in Computer Science, Engineering, or a related technical field
  • Minimum of 3 years experience in DevOps, with significant exposure to MLOps and preferably LLM Ops
  • Strong programming and scripting skills in languages like Python
  • Proficient with cloud services (AWS, GCP, Azure) specifically for deploying ML and LLM environments
  • Expertise in container technologies such as Docker and orchestration tools like Kubernetes

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