Research Engineer Foundation Model ML Ops (f/m/div.)
Tasks
- Assess emerging machine learning technologies
- Build scalable distributed training pipelines
- Conduct experiments on GPU clusters and cloud infrastructure
- Deploy models to industrial applications
- Develop LLM applications
- Develop MLOps solutions
- Fine-tune foundation models
- Generate intellectual property through publications
- Train and evaluate machine learning models
- Write efficient, documented code
Perks/Benefits
Skills/Tech-stack
Cloud infrastructure | Data Engineering | Deep learning | Distributed Training | Fine Tuning | GPU Cluster | Generative AI | LLM Fine-tuning | Language Models | Language Processing | Large Language Models | MLOps | Machine Learning | Model Evaluation | Multi-GPU | Multi-node | Multi-node Training | Natural Language | Natural Language Processing | PyTorch | Python | Vision Language Models | Vision-language
Education
Regions
Countries
States
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