Machine Learning Data Engineer
Tasks
- Build recommendation and anomaly detection systems
- Collaborate with engineering, product, and customer success teams
- Develop and maintain ML data pipelines
- Implement real time predictions for quality cost and failure
- Manage end-to-end ML lifecycle
- Monitor and evaluate model performance
- Research and implement time series AI techniques
- Train and deploy machine learning models
- Validate results in production environments
- Work with data scientists to deploy ML algorithms
Perks/Benefits
- N/A
Skills/Tech-stack
Amazon SageMaker | Anomaly Detection | Apache Beam | Apache Spark | Cloud platform | Deep learning | Distributed Systems | GCP | Google Cloud | Google Cloud Platform | MLflow | Python | Recommendation Systems | Reinforcement Learning | SQL | Time Series | Vertex AI
Education
Regions
Countries
States
Georgia, US | Texas, US | Connecticut, US | Illinois, US | New Jersey, US | New York, US | California, US | Massachusetts, US
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