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Senior Machine Learning Engineer
Models that survive contact with production. Hired from LatAm, working your exact US hours, presented in a curated shortlist in under five days.
A senior ML Engineer takes models out of notebooks and into your product: training pipelines, serving infrastructure, and monitoring that catches degradation before your users do.
What they own
- Training and serving pipelines for production models
- Model monitoring, evaluation, and retraining strategy
- Experimentation workflows that reach production
- Latency and cost optimization for inference
Typical stack
PythonPyTorchTensorFlowSageMakerVertex AIMLflowDocker
Why senior matters here
Most models die between the notebook and production. A senior ML engineer has shipped, monitored, and debugged models that real customers depend on.
Need a senior Machine Learning Engineer on your team?
One fixed all-inclusive rate. No recruiting fees, no replacement fees. Shortlist in under five days.