Description

Manage infrastructure and orchestration for enterprise-grade AI services, owning the deployment, scaling, and lifecycle governance of LLMs and AI models.

This role is on-site.

Responsibilities

• Deploy and maintain AI/ML services on Azure using container orchestration.
• Integrate MLOps platforms like Kubeflow and MLflow for model tracking.
• Automate deployment workflows via CI/CD pipelines and infrastructure-as-code.
• Manage AI model versioning, governance, and lifecycle operations.
• Ensure scalability and reliability of enterprise OpenAI GPT integrations.

Required Skills

• 5+ years experience in AI Ops, MLOps, DevOps, or platform operations.
• Hands-on experience with OpenAI GPT, LLMs, or enterprise AI services.
• Proficiency with Azure for AI/ML deployments.
• Experience with AI frameworks including TensorFlow and PyTorch.
• Working knowledge of Docker and Kubernetes.
• Experience with CI/CD tools such as Jenkins or GitLab.
• Proficiency with infrastructure-as-code tools like Terraform or Ansible.

Preferred Skills

• Understanding of AI orchestration and model lifecycle management.

Key Skills

Education

Any Graduate