Position Details
About this role
This role involves validating AI solutions, building cluster automation for training and inference workloads, and working with the latest hardware and software technologies in AI.
Key Responsibilities
- Validate AI solutions
- Build automation for distributed training
- Benchmark AI workloads
- Develop technical relationships
- Participate in hardware bring-ups
Technical Overview
The environment includes AI hardware, software frameworks like PyTorch and TensorFlow, container orchestration with Kubernetes, and automation scripting using Python and Golang.
Ideal Candidate
The ideal candidate is a mid-level AI engineer with experience in validating complex AI infrastructure, proficient in Python and Golang, with knowledge of distributed systems, AI frameworks, and automation scripting.
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 AI infrastructure, No proficiency in Python or Golang, No experience with distributed systems
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