Data Science Engineer II – Machine Learning (Python / AWS)
Tasks
- Build reliable data pipelines
- Collaborate with AI engineers and product teams
- Communicate model results to stakeholders
- Create versioned testable model artifacts
- Define evaluation frameworks
- Deploy models to production services
- Design machine learning models
- Ensure data quality monitoring
- Integrate models via APIs
- Run experiments and measure success metrics
- Support A/B testing
- Translate business questions to data problems
- Validate model performance
Perks/Benefits
- N/A
Skills/Tech-stack
A/B | A/B Testing | APIs | AWS | Amazon Athena | Amazon DynamoDB | Amazon Redshift | Amazon S3 | Amazon SageMaker | B testing | Data Pipelines | Data Quality | Databricks | Experimentation | MLOps | MLflow | Machine Learning | Model Monitoring | NumPy | Pandas | Python | SQL | Scikit-learn | Spark
Education
N/A
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