Key skills
AI/ML InfrastructureGPU ComputingCloud PlatformsPythonKubernetesDockerInfrastructure as CodeLinuxCI/CD pipelinesMonitoring & ObservabilityGitAgile methodologiesHigh-Performance ComputingDistributed SystemsStorage & Networking for AIAI Workload OrchestrationAIMachine LearningMLAWSAzureGCPTerraformAgileCI/CD
About this role
Bright Vision Technologies is a forward-thinking software development company dedicated to building innovative solutions that help businesses automate and optimize their operations. They are seeking an AI Infrastructure Engineer to leverage cutting-edge AI infrastructure and cloud technologies to build scalable platforms that support machine learning and AI workloads.
Requirements:
- 3 to 5 years real time experience
- AI/ML Infrastructure
- GPU Computing (NVIDIA CUDA)
- Python
- Linux
- Kubernetes
- Docker
- Cloud Platforms (AWS / Azure / GCP)
- AI Workload Orchestration
- High-Performance Computing
- Distributed Systems
- Storage & Networking for AI
- Infrastructure as Code (Terraform)
- CI/CD pipelines
- Monitoring & Observability
- Git
- Agile methodologies
- Coding test required