Computational Scientist – AI/ML Engineer for Climate Science
Tasks
- Build user interfaces and scalable backend services
- Collaborate with researchers to translate scientific challenges
- Compile debug profile tune and port scientific applications
- Consult with researchers on HPC national and cloud resource utilization
- Deploy optimize support AI ML pipelines on HPC GPU systems
- Develop optimize AI ML workflows and neural networks
- Develop software for data acquisition ingestion integration
- Develop technical training materials and web based documentation
- Maintain scientific software environments community codes datasets
- Optimize CPU GPU memory storage and I O performance
- Optimize large scale training and inference with distributed computing
- Support information security assessments and risk analysis
Perks/Benefits
Skills/Tech-stack
C++ | Compiler optimization | Containers | Deep learning | Distributed Computing | Distributed Training | Docker | GPU | Git | HDF5 | HPC | Linux | MPI | NVIDIA Nsight | NetCDF | Neural Networks | NumPy | OpenMP | Pandas | Performance Analysis | PyTorch | Python | SciPy | Scikit-learn | Slurm | TensorFlow | Unix | Xarray
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
AI | AI/ML Engineer | Computational Scientist | Engineer | ML Engineer | Scientist
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