AI Platform Engineer - Cloud & MLOps
First seen by Alion on Oct 24, 2026.
Experience: 8 - 12 Years
Location: Bengaluru (Hybrid)
Notice Period: Immediate to 15 - 20 Days
Role Overview:
We are seeking an AI Platform Engineer to support the deployment, integration, monitoring, and scaling of AI applications and services. The role focuses on building reliable AI infrastructure and enabling secure, cost-effective deployment of LLM-based applications in cloud environments.
Key Responsibilities:
- Build and maintain reusable AI platform services and deployment components.
- Deploy AI applications and services using Docker and containerized environments.
- Implement and maintain CI/CD pipelines for automated testing and deployment.
- Collaborate with platform teams to support Kubernetes and cloud-native deployments.
- Integrate AI models and services into scalable enterprise environments.
- Support AI application monitoring, observability, performance optimization, and reliability.
- Contribute to secure, highly available, and cost-efficient AI deployments.
- Support GPU-based workloads and optimize AI inference infrastructure where required.
Required Skills :
- Strong experience in cloud infrastructure, deployment, or platform engineering.
- Hands-on expertise in Docker and CI/CD pipelines.
- Experience with cloud platforms such as AWS, Azure, or GCP.
- Knowledge of Kubernetes and microservices architecture.
- Understanding of application monitoring, security, scalability, and reliability.
- Experience supporting AI/ML application deployment or integration.
Good to Have :
- Experience deploying LLM applications on GPU-powered infrastructure.
- Familiarity with NVIDIA GPUs and Kubernetes GPU orchestration.
- Exposure to model serving, MLOps, and AI observability.
Skills
MLOps, DevOps, Cloud Infrastructure, CI/CD Pipeline, Microservices Architecture, AIOps, Kubernetes, Native Cloud, Docker, Monitoring Tools, LLM