Lead Engineer, Machine Learning
Tasks
- Build ML systems end to end
- Build data pipelines for training data
- Build training and fine tuning pipelines
- Continuously improve deployed models
- Deploy and monitor production models
- Design evaluation systems
- Detect debug and resolve production ML issues
- Develop high-performance inference systems
- Optimize latency GPU utilization memory cost and reliability
Perks/Benefits
- N/A
Skills/Tech-stack
Data pipeline | Deployment | Fine Tuning | GPU | JAX | Machine Learning | Model Evaluation | Model Inference | Monitoring | PyTorch | Python | Training Pipeline
Education
N/A
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