AI and Machine Learning Engineer
Spring, Texas, United States of America
USD 120K-276K Mid-level Full Time
Tasks
- Analyze server workloads for deep learning and machine learning
- Capture and review system performance data logs traces
- Communicate technical work to non technical colleagues
- Develop software and scripts for analyzing AI workload performance
- Develop software scripts and configurations for automating deployment
- Document and report issues discovered during testing
- Improve performance of large language models
- Install and configure IT infrastructure components
- Optimize systems with software and hardware partners
- Provide guidance to less experienced staff
- Run AI and HPC benchmarks
- Write white papers and guidance for AI workload and model selection
Perks/Benefits
Skills/Tech-stack
AI benchmarks | Artificial Intelligence | C# | C++ | CI/CD | Containers | Deep learning | Distributed Deep Learning | Distributed Training | Generative AI | HPL | HPL Benchmarks | High Performance | High speed | High-Performance Computing | High-performance networking | High-speed networks | Infiniband | Language Models | Large Language Models | Lustre | Machine Learning | NCCL | Neural Network | Neural Networks | Performance Computing | Python | Resource Managers | Slurm | Transformers | Weka IO
Education
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