Machine Learning Engineer II
USA TX Houston Hybrid, United States
R
USD 131K-187K (estimate) Mid-level Full Time
Tasks
- Build distributed ML pipelines
- Build production machine learning models
- Convert research workflows to production systems
- Deploy and monitor ML models in production
- Design and productionize data pipelines
- Diagnose and resolve ML system reliability issues
- Evaluate ML pipeline architecture and tooling
- Extend shared ML libraries and frameworks
- Integrate ML solutions into platform and meet SLA requirements
- Optimize model performance and tuning
Perks/Benefits
Skills/Tech-stack
Azure | Batch inference | Cost Optimization | Databricks | Distributed Systems | Distributed Training | Feature Engineering | GPU Training | Linux | Low Latency | Low Latency Inference | MLflow | Model Tuning | Model Validation | PySpark | PyTorch | Python | Real Time | Real-time Inference | TensorFlow
Education
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