Senior Machine Learning Engineer
Tasks
- Benchmark model quality
- Build MLops pipelines
- Deploy models to edge devices
- Deploy models to mobile
- Deploy models to servers
- Distill knowledge
- Evaluate model accuracy latency and compute usage
- Fine-tune language models
- Ingest data for training
- Monitor model performance
- Optimize model efficiency
- Prune models
- Quantize models
- Train language models
- Train validate deploy and monitor models
Perks/Benefits
- Childcare reimbursement
- Flexible working hours
- Gym reimbursement
- Life insurance
- Medical insurance
- Paid time off
- Wellness programs
Skills/Tech-stack
CI/CD | Edge Computing | Experiment tracking | Hugging Face | Knowledge Distillation | LoRA | MLOps | Machine Learning | Mobile Deployment | Model Monitoring | Model versioning | ONNX | PEFT | Pruning | PyTorch | Python | QLoRA | Quantization | TRL | TensorFlow
Education
N/A
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