Technical Lead, Machine Learning
Tasks
- Architect scalable inference balancing latency cost and reliability
- Build data pipelines and training workflows
- Deploy models for production inference
- Design data systems for synthetic and real world training data
- Fine tune and adapt models using parameter efficient methods
- Implement evaluation pipelines for performance safety and bias
- Integrate ML systems into backend mobile and desktop products
- Monitor debug and resolve production ML issues
- Optimize GPU memory efficiency and latency
- Own end to end ML system execution
Perks/Benefits
- N/A
Skills/Tech-stack
Bias Evaluation | DPO | Data Pipelines | Evaluation | GPU Optimization | Inference architecture | JAX | Knowledge Distillation | Latency optimization | LoRA | Machine Learning | Memory efficiency | Model Deployment | Model Observability | PyTorch | Python | QLoRA | SFT | Safety | Training workflows
Education
N/A
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