Position Details
About this role
This role involves evaluating and optimizing AI performance across CPUs and GPUs, developing automation frameworks, and integrating emerging AI technologies.
Key Responsibilities
- Evaluate AI performance
- Develop automation frameworks
- Incorporate emerging RAG technologies
- Build Docker containers
- Analyze AI workloads
Technical Overview
The technical environment includes Python, Linux, Docker, TensorFlow, PyTorch, TensorRT, CUDA, and performance analysis tools, focusing on AI/ML workloads and system optimization.
Ideal Candidate
The ideal candidate is a mid-level AI/ML engineer with 2+ years experience in deep learning frameworks like PyTorch and TensorFlow, strong Linux development skills, and experience with performance optimization on CPUs and GPUs.
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/ML frameworks, No Linux environment development experience, Less than 2 years experience in AI/ML, No experience with multithreaded or parallel computing
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