AI Engineer II
Tasks
- Analyze and optimize ETL processes
- Automate model creation workflows
- Build AI and ML models for production
- Create feature engineering workflows
- Deploy model features to production
- Develop scalable ETL pipelines
- Integrate model outputs into production environments
- Maintain distributed data workflows
- Write testable, maintainable code
Perks/Benefits
- N/A
Skills/Tech-stack
Agile | Amazon Web Services | Artificial Intelligence | Cloud platform | Data Pipelines | Databricks | ETL | Feature Engineering | Google Cloud | Google Cloud Platform | Machine Learning | Python | SQL | Spark | Web Services
Education
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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