Technical Lead, Machine Learning
Tasks
- Architect inference systems
- Build data pipelines
- Deploy ML models
- Design synthetic and real world training data systems
- Detect debug and resolve production issues
- Develop evaluation pipelines
- Ensure model robustness safety and bias
- Improve memory efficiency
- Integrate ML systems into backend mobile and desktop
- Monitor model performance in production
- Optimize GPU performance
- Own end to end ML system execution
- Reduce inference latency
- Run training workflows
- Scale inference systems
Perks/Benefits
- N/A
Skills/Tech-stack
DPO | Data Pipelines | Distillation | GPU Optimization | Inference | Information Retrieval | JAX | Latency optimization | LoRA | Machine Learning | Memory Optimization | Model Deployment | Model Evaluation | Model Training | Production Monitoring | PyTorch | Python | QLoRA | SFT | Synthetic data
Education
N/A
Roles
Engineer | Lead | Learning Engineer | Machine Learning Engineer | Technical Lead
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