Description

Integrate MLOps tools and platforms (e.g., Kubeflow, MLflow, or other AI orchestration tools).
5+ years of experience in AI Ops, MLOps, DevOps, or platform operations.
Proven expertise with AI/ML platforms, especially Open AI GPT, other LLMs, or enterprise-grade AI services.
Technical Expertise:
Hands-on experience with cloud platforms Preferably Azure for AI/ML deployments.
Proficiency with AI frameworks and libraries (TensorFlow, PyTorch, etc.).
Experience with CI/CD tools (Jenkins, GitLab, CircleCI) and infrastructure-as-code (Terraform, Ansible).
Familiarity with containerization (Docker, Kubernetes) and orchestration tools.
Understanding of AI model lifecycle management, versioning, and governance.
 

Key Skills
Education

Any Graduate

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