Data Scientists
Tasks
- Apply AI to digital engineering and simulation workflows
- Apply reinforcement learning and supervised learning for control systems
- Build and deploy open source LLM applications
- Build knowledge graphs for AI applications
- Deploy large language models on cloud and parallel GPU systems
- Develop AI and ML solutions for fusion research
- Optimize AI workflows on parallel GPU architectures
- Optimize and deploy AI workflows on specialized hardware
- Perform fine tuning and transfer learning for foundation models
- Port AI and ML models to control hardware using real time workflows
Perks/Benefits
Skills/Tech-stack
Artificial Intelligence | C# | C++ | CUDA | CUDA programming | Cloud Computing | Command Line | Command-line Interface | Control Systems | Data Engineering | Data Privacy | Data Sovereignty | Deep learning | Export control | FPGA | Fine Tuning | Fortran | GPU | GraphRAG | HPC | High Performance | High-Performance Computing | Knowledge graphs | Language Models | Language Processing | Large Language Models | Large Scale Data | Large-scale | Large-scale data engineering | Learning algorithms | Linux | Machine Learning | Natural Language | Natural Language Processing | Open Source | Open Source Software | Parallel Computing | Performance Computing | Python | R | Reinforcement Learning | Reinforcement learning algorithms | Robotics | Rust | Supervised Learning | Transfer Learning | Transformers | Unix | Vision Transformer
Education
Roles
AI | AI Researcher | Data Scientist | Engineer | Learning Engineer | Machine Learning Engineer | Researcher | Scientist
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