Machine Learning Engineer, API Multicloud
Tasks
- Apply model improvements into production
- Build production ML systems
- Debug model behavior training data and APIs
- Define target model behaviors
- Diagnose failure modes
- Evaluate training outcomes
- Identify improvements to data and evaluation
- Integrate ML capabilities into AWS native environments
- Operate end to end in ambiguous environments
- Propose and implement post training platform improvements
- Scale post training and fine tuning workflows
Perks/Benefits
- N/A
Skills/Tech-stack
APIs | AWS | Data Pipelines | Data Structures | Data structures algorithms | Deep learning | Distillation | Distributed Systems | Fine Tuning | Kubernetes | Model Customization | Model Evaluation | Preference optimization | Production ML | PyTorch | Python | Reinforcement Learning | Supervised Fine Tuning | Systems Design | TensorFlow | Training Data Pipelines | Training data | Transformer Models
Education
Regions
Countries
States
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