Senior ML Engineer
Tasks
- Build and curate datasets for metrics
- Build and maintain evaluation harnesses
- Define labeling schemes and manage data quality
- Deploy models using end to end pipeline
- Maintain Rust services and API endpoints
- Optimize models for production inference
- Package trained models into production ready containers
- Run systematic experiments for model architectures and hyperparameters
- Train and fine tune encoder and decoder models
Perks/Benefits
- N/A
Skills/Tech-stack
Data Quality | Deep learning | Docker | Inference Server | Knowledge Distillation | Kubernetes | MLflow | Machine Learning | ONNX | Precision tuning | PyTorch | Python | Quantization | Rust | TensorRT | TensorRT-LLM | Transformers | Triton Inference | Triton Inference Server | Weights and Biases
Education
N/A
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