Technical Lead, Machine Learning
Tasks
- Architect scalable inference systems
- Build data pipelines and training workflows
- Deploy machine learning models to production
- Design data systems for synthetic and real world training data
- Develop evaluation pipelines for performance robustness safety and bias
- Fine-tune and adapt models
- Implement memory efficiency and latency reduction
- Integrate machine learning systems into products
- Monitor and debug production machine learning issues
- Optimize GPU training and inference performance
- Own end to end machine learning system execution
Perks/Benefits
- N/A
Skills/Tech-stack
Cost Optimization | DPO | Data Pipelines | GPU | Inference architecture | JAX | Knowledge Distillation | Latency optimization | LoRA | Memory Optimization | Model Deployment | Model Evaluation | PyTorch | Python | QLoRA | SFT
Education
N/A
Roles
Engineer | Lead | Learning Engineer | Machine Learning Engineer | Technical Lead
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