Technical Lead, Machine Learning
Tasks
- Architect scalable inference systems
- Build data pipelines
- Deploy production ML systems
- Design inference architecture
- Design synthetic and real world data systems
- Develop evaluation systems
- Fine-tune and adapt models
- Implement evaluation for robustness safety bias performance
- Implement model distillation
- Implement training workflows
- Integrate ML systems into backend mobile and desktop
- Monitor and improve system observability
- Optimize GPU performance and memory efficiency
- Own end to end ML system execution
- Reduce inference latency
- Scale inference policies
Perks/Benefits
- N/A
Skills/Tech-stack
Bias | DPO | Data Pipelines | Deployment | GPU Optimization | Inference | JAX | Latency optimization | LoRA | Memory Optimization | Model Distillation | Model Evaluation | PyTorch | Python | QLoRA | Robustness | SFT | Safety | Synthetic data | Training Data Pipelines | Training data
Education
N/A
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