Looking For immediate joiner only

Role- Senior cloud Engineer

Experience - 8 to 15 yrs

Location- Noida_ Onsite (5 days working )

Key Responsibilities:

• Design and implement cloud architecture for AI/ML, LLM model deployment, monitoring, and scaling

Deploy models using Docker, Kubernetes, and CI/CD pipelines across cloud environments on Azure or GCP

• Optimize AI model serving using tools like TensorFlow Serving, TorchServe, ONNX Runtime, Triton Inference Server, etc.

• Build and manage IaC using Terraform, or CloudFormation

• Implement security best practices, autoscaling, logging, monitoring (Prometheus/ Grafana/ ELK), and disaster recovery plans

Collaborate with ML engineers to produce prototypes into resilient, cloud-native services

• Benchmark and tune deployments for low latency, high throughput, and cost optimization

Required Qualifications:

8+Years of experience in cloud engineering, with 4+ years focused on AI/ML deployment at scale

• Strong hands-on expertise in Azure and GCP

• Proficient in Docker, Kubernetes, Helm, and serverless deployment models

• Solid understanding of ML frameworks (TensorFlow, PyTorch, scikit-learn) and model deployment workflows

Experience in CI/CD tools (GitHub Actions, Jenkins, GitLab CI), scripting (Python, Bash), and API gateway management