Machine Learning Engineer
San Diego, CA, United States
USD 117K-236K (estimate) Senior-level Full Time
Tasks
- Build data pipelines and feature engineering workflows
- Collaborate with data engineers software engineers data scientists product partners stakeholders
- Design train evaluate refine machine learning models
- Document and communicate work progress technical decisions and outcomes
- Follow governance documentation coding and source control standards
- Implement machine learning solutions for production microservices APIs batch jobs streaming components
- Own machine learning system components
- Support production monitoring for model performance data drift anomalies retraining triggers
- Translate technical requirements into code
Perks/Benefits
Skills/Tech-stack
APIs | AWS | Bias Variance | Bias-Variance Tradeoff | Data Drift | Data Drift Detection | Data Modeling | Docker | Drift Detection | ELT | ETL | Huggingface | Keras | Kubernetes | MLOps | Microservices | Model Deployment | Model Performance Monitoring | Model Validation | Model performance | Pandas | Performance Monitoring | PySpark | PyTorch | Python | SQL | Scikit-learn | Stream processing | TensorFlow
Education
Regions
Countries
States
Cities
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