Machine Learning Engineer II
USA TX Houston Hybrid, United States
R
USD 131K-184K (estimate) Mid-level Full Time
Tasks
- Build distributed machine learning pipelines
- Build machine learning models
- Convert prototypes to production systems
- Deploy machine learning systems
- Design data pipelines
- Diagnose model performance issues
- Evaluate machine learning pipelines
- Extend shared machine learning libraries
- Integrate ML solutions into platform
- Maintain batch inference
- Maintain real time inference
- Meet service level agreements
- Monitor machine learning systems
- Optimize model performance
- Perform feature engineering
- Productionize machine learning models
- Recommend architecture improvements
- Tune and validate models
Perks/Benefits
Skills/Tech-stack
Azure | Batch inference | Data Pipelines | Databricks | Distributed Systems | Feature Engineering | GPU-accelerated training | Linux | Low Latency | MLflow | Model Tuning | Model Validation | PySpark | PyTorch | Python | Real Time | Real-time Inference | TensorFlow
Education
N/A
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