Description

You will own the operational stability and deployment lifecycle for AI systems.

This role is on-site.

Responsibilities

• Develop and maintain AI operations pipelines using MLOps practices.
• Integrate AI agents with diverse data sources including Elasticsearch, SQL, NoSQL, Jira, Confluence, and Git.
• Implement infrastructure provisioning using Infrastructure as Code tools.
• Manage and enhance CI/CD workflows for AI services.

Required Skills

• 10+ years of experience in AI Development, MLOps, or a related operations role.
• Proficiency in Python for automation and backend development.
• Hands-on experience with agentic frameworks like Lang Chain or Auto Gen.
• Experience integrating AI agents with Elasticsearch, SQL, and NoSQL databases.
• Demonstrable operational experience with AWS core services.
• Proficiency in Infrastructure as Code using Terraform or Ansible.
• Experience managing CI/CD pipelines and Git version control.
• Familiarity with containerization technologies like Docker and Kubernetes.

Key Skills

Education

Any Graduate