AI/ML Engineer – Agent Development & Cloud DevOps

About the role

We are looking for an AI/ML Engineer who will design, implement and maintain AI agents and cloud‑native infrastructure. The role blends machine‑learning expertise with DevOps practices to deliver secure, scalable applications across multiple environments.

Key responsibilities

• Design, build and operate CI/CD pipelines for automated, secure application delivery.
• Manage Kubernetes platforms (AKS, EKS), including cluster operations, Helm chart deployment, scaling and environment isolation.
• Implement GitOps workflows using tools such as ArgoCD or Flux and maintain container registries.
• Configure networking components – API gateways, ingress controllers, TLS certificates, DNS and security policies.
• Provide infrastructure services like secrets management, managed identities and controlled execution environments.
• Deploy and maintain AI agents and MCP server components using reusable automation templates.
• Collaborate with development, security and operations teams to ensure high availability and compliance.

Required profile

• Bachelor’s degree in Computer Science, Engineering or related field.
• At least 3 years of professional experience in DevOps, SRE or Cloud Engineering.
• Hands‑on experience with Kubernetes (AKS, EKS) and Helm.
• Proven ability to build CI/CD pipelines with Azure DevOps or GitHub Actions.
• Familiarity with Azure services such as ACR, Key Vault and Blob Storage.
• Experience with GitOps tools (ArgoCD, Flux) and networking concepts (ingress, API gateways, TLS, DNS).
• Strong scripting skills in Bash or Python.
• Excellent problem‑solving and communication abilities.

Required skills

• Kubernetes (AKS, EKS)
• Helm
• Docker
• Azure DevOps / GitHub Actions
• Azure Container Registry, Azure Key Vault, Blob Storage
• GitOps (ArgoCD, Flux)
• API gateways, ingress controllers, TLS, DNS
• Bash, Python scripting