Technical Lead, Machine Learning
Tasks
- Architect scalable inference
- Build data pipelines
- Create evaluation pipelines
- Deploy inference systems
- Design training data systems
- Fine-tune and adapt models
- Implement performance robustness safety and bias evaluations
- Improve latency cost and reliability
- Integrate ML systems into products
- Optimize GPU training and inference
- Own end to end ML system execution
- Run training workflows
Perks/Benefits
- N/A
Skills/Tech-stack
Bias Evaluation | DPO | Data Pipelines | Deployment optimization | GPU Computing | Inference architecture | JAX | Latency optimization | LoRA | Memory Optimization | Model Distillation | Model Evaluation | Model Training | PyTorch | Python | QLoRA | Robustness Testing | SFT | Safety evaluation
Education
N/A
Roles
Engineer | Lead | Learning Engineer | Machine Learning Engineer | Technical Lead
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