Technical Lead, Machine Learning
Tasks
- Architect scalable inference balancing latency cost reliability
- Build data pipelines
- Deploy ML inference systems
- Design training workflows
- Develop evaluation pipelines
- Ensure system observability and maintainability
- Fine tune and adapt large models
- Implement performance robustness safety and bias evaluation
- Improve memory efficiency and latency reduction
- Integrate ML systems into backend mobile and desktop products
- Monitor, debug, and resolve production issues
- Optimize GPU training and inference
- Own end to end ML system execution
- Scale deployment policies
Perks/Benefits
- N/A
Skills/Tech-stack
Batch inference | Bias Evaluation | DPO | Data Pipelines | Fine Tuning | GPU Computing | Inference Optimization | JAX | Knowledge Distillation | Language Models | Large Language Models | Latency optimization | LoRA | ML monitoring | Memory Optimization | Model Deployment | Model Evaluation | Model Fine-tuning | Production ML | Production ML monitoring | PyTorch | Python | QLoRA | Robustness Evaluation | SFT | Safety evaluation | Synthetic data
Education
N/A
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