Senior Machine Learning Engineer
Tasks
- Apply pruning to models
- Apply quantization to models
- Build MLops pipelines
- Deploy models to edge devices
- Deploy models to mobile devices
- Evaluate model quality using benchmarking frameworks
- Fine-tune small language models
- Monitor hardware utilization in production
- Monitor model accuracy in production
- Monitor model latency in production
- Optimize models for inference
- Train SLMs using Hugging Face
- Use knowledge distillation
Perks/Benefits
- Childcare reimbursement
- Flexible hours
- Gym reimbursement
- Health care benefits
- Life insurance
- Medical insurance
- Paid time off
Skills/Tech-stack
Deep learning | Edge Computing | Hugging Face | Knowledge Distillation | Language Processing | LoRA | MLOps | Machine Learning | Model Benchmarking | Natural Language | Natural Language Processing | ONNX | PEFT | Pruning | QLoRA | Quantization
Education
N/A
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