Data Engineer ( AI/ML )
Tasks
- Build cloud data platforms
- Collaborate with data scientists and stakeholders
- Deploy machine learning models
- Design data pipelines
- Develop feature engineering solutions
- Enable data and model governance
- Ensure data quality scalability reliability performance
- Implement CI/CD pipelines
- Monitor model performance
- Optimize model pipelines
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Agile | Artificial Intelligence | Automation | Azure | CI/CD | Cloud Native | Containerization | Data Lakes | Data Modeling | Data Quality | ELT | ETL | Feature Engineering | Generative AI | Google Cloud | Governance | Kubernetes | Language Models | Large Language Models | MLOps | Machine Learning | Model Deployment | Model Monitoring | Performance Tuning | Prompt engineering | PySpark | Python | Query Optimization | RAG | SQL | Scrum | Version control
Education
N/A
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