AI DevOps Engineer(Freelance | WFH)

3 years

0 Lacs

Posted:4 weeks ago| Platform: Linkedin logo

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Work Mode

Remote

Job Type

Part Time

Job Description

About BeGig

BeGig is the leading talent platform for AI-focused engineering roles. By joining, you’re matched with startups scaling production AI systems.


Your Opportunity

Join BeGig as an AI DevOps Engineer and support reliable deployment, monitoring, and scaling of AI and machine learning pipelines. You’ll bridge ML engineering with production infrastructure.


Role Overview

As an AI DevOps Engineer, you will:

  • Build CI/CD pipelines for ML workflows and AI-based applications.
  • Automate deployments of models, APIs, and inference systems.
  • Implement observability—logging, tracing, and performance monitoring.
  • Manage GPU/compute resources efficiently across cloud environments.
  • Collaborate with ML engineers to harden model-serving infrastructure.


Technical Requirements & Skills

  • Experience: 3+ years in DevOps, ML engineering, or infrastructure roles.
  • Tools: Kubernetes, Docker, Terraform, MLflow, Airflow, Argo.
  • Cloud: Experience with AWS, Azure, or GCP for AI-focused workloads.
  • Programming: Python, Bash, or Go.
  • Monitoring: Familiarity with Prometheus, Grafana, or OpenTelemetry.


What We’re Looking For

  • Engineer capable of making AI systems reliable, scalable, and secure.
  • Strong CI/CD and automation mindset.
  • Ability to manage complex distributed systems.


Why Join Us?

  • Impact: Build production environments for next-gen AI applications.
  • Flexibility: Remote infra and DevOps assignments across AI teams.


Community: Learn from senior infra and ML experts.

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