Pune, Maharashtra
Job Summary
Design, deploy, and manage AI/ML workloads on Google Cloud Platform (GCP) .
Build and maintain CI/CD pipelines for scalable AI and LLM applications.Containerize and orchestrate services using Docker and Kubernetes .
Implement MLOps / LLMOps practices for model deployment, versioning, and lifecycle management.
Provision and manage infrastructure using Terraform (IaC) .
Support monitoring, security, governance, and cost optimization for AI platforms.
Key Responsibilities
Design, deploy, and operate scalable AI/ML platforms on Google Cloud Platform (GCP) .
Build, automate, and maintain CI/CD pipelines for AI and LLM applications.Containerize applications and manage workloads using Docker and Kubernetes .
Implement and govern MLOps / LLMOps practices across model lifecycle (build, deploy, monitor).
Provision and manage cloud infrastructure using Terraform (Infrastructure as Code) .
Enable monitoring, security, governance, and cost optimization for AI workloads.
Skill Requirements
Skill
Mandatory
Proficiency Level (1-5)
Cloud Platforms (GCP)
Must Have
5
CI/CD pipelines for AI applications
Must Have
5
Docker & Kubernetes
Must Have
5
MLOps / LLMOps
Must Have
5
Infrastructure as Code (Terraform)
Must Have
4
Monitoring & Observability
Good to Have
3–4
Security & Governance for AI systems
Good to Have
3–4
Cost optimization for AI workloads
Good to Have
3
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