Technical Lead, Machine Learning
Tasks
- Build data pipelines
- Deploy production ML systems
- Design inference architecture
- Develop model evaluation pipelines
- Fine-tune and adapt large language models
- Implement training workflows
- Improve latency cost and reliability
- Integrate ML systems with backend mobile and desktop products
- Maintain synthetic and real world training data
- Monitor, debug, and resolve production issues
- Optimize GPU training and inference
- Own end to end ML system execution
Perks/Benefits
- N/A
Skills/Tech-stack
Bias Evaluation | Cost Optimization | DPO | Data Pipelines | Evaluation Pipelines | GPU Optimization | Inference Optimization | JAX | Latency optimization | LoRA | Model Deployment | Model Distillation | PyTorch | Python | QLoRA | SFT | Safety evaluation
Education
N/A
Roles
Engineer | Lead | Learning Engineer | Machine Learning Engineer | Technical Lead
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