Machine Learning Engineer II
USA TX Houston Hybrid, United States
R
USD 112K-179K (estimate) Mid-level Full Time
Tasks
- Build and optimize distributed ML pipelines
- Build and productionize data pipelines
- Convert research workflows into production systems
- Deploy monitor and maintain ML systems
- Design and productionize machine learning models
- Diagnose and resolve performance and reliability issues
- Evaluate ML pipeline architecture tooling and processes
- Extend and optimize shared ML libraries and frameworks
- Integrate ML solutions into platform and meet SLA requirements
- Optimize feature engineering model tuning and validation
Perks/Benefits
- N/A
Skills/Tech-stack
Accelerated computing | Azure | Batch inference | Cloud Computing | Cost Optimization | Databricks | Distributed Systems | Feature Engineering | GPU accelerated computing | Linux | Low Latency | Low Latency Inference | MLflow | Model Tuning | Model Validation | PySpark | PyTorch | Python | TensorFlow
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
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