Position Details
About this role
This role involves developing and maintaining AI infrastructure, leveraging cloud platforms, GPU computing, and container orchestration to support machine learning workloads.
Key Responsibilities
- Develop AI infrastructure
- Manage GPU workloads
- Automate deployment with Terraform and CI/CD
- Monitor system performance
- Collaborate with AI teams
Technical Overview
Environment includes AI/ML infrastructure, GPU computing with NVIDIA CUDA, Python, Linux, Kubernetes, Docker, and cloud platforms (AWS, Azure, GCP). Focus on high-performance, distributed systems, and infrastructure automation.
Ideal Candidate
The ideal candidate is a mid-level AI Infrastructure Engineer with 3+ years of experience in cloud platforms, GPU computing, and infrastructure automation. They possess strong technical skills in AI workloads, cloud environments, and container orchestration, with a proactive problem-solving mindset.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Lack of experience with cloud platforms (AWS, Azure, GCP), No experience with GPU computing or NVIDIA CUDA, Less than 3 years of relevant experience, Inability to pass coding test
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