Machine Learning Engineer 5.5
Tasks
- Analyze trade-offs for cost latency and accuracy
- Architect scalable ML systems
- Assess data distribution and manage data workflows
- Collaborate with data research and product teams
- Define benchmarks and analyze A B tests
- Design build test and maintain AI ML systems
- Frame product features as ML tasks
- Handle cold-start and overfitting challenges
- Implement and adapt research techniques
- Optimize models for GPU TPU
- Organize datasets and engineer features
Perks/Benefits
Skills/Tech-stack
AI systems | CUDA | Data Engineering | Deep learning | Feature Engineering | Hugging Face | JAX | Keras | Machine Learning | Model Optimization | PyTorch | Python | Scalable AI | Scalable AI systems | TensorFlow | Transfer Learning
Education
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