Machine Learning Engineer, API Multicloud
Tasks
- Bring training and evaluation best practices into production
- Build production ML systems for post training and fine tuning
- Debug complex systems across model behavior training data APIs and distributed infrastructure
- Define target model behaviors
- Design safe model customization systems
- Diagnose failure modes
- Improve performance through data evaluation and infrastructure changes
- Integrate ML capabilities into AWS native API environments
- Investigate training and customization outcomes
- Own end to end ML reliability and scalability improvements
- Propose and implement improvements to post training systems tooling and APIs
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Data Pipelines | Data Structures | Data structures algorithms | Deep learning | Distributed Systems | Fine Tuning | Knowledge Distillation | Kubernetes | Machine Learning | Model Evaluation | Preference optimization | PyTorch | Python | Reinforcement Learning | Rust | Supervised Fine Tuning | Systems Design | TensorFlow | Transformer Models
Education
Regions
Countries
States
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