Sr AI Engineer-Item Science
Tasks
- Build data pipelines and data driven systems
- Build recommendation or forecasting algorithms
- Define algorithmic solution design
- Deploy models to production
- Design and implement scalable machine learning pipelines
- Design metrics for model performance
- Develop and integrate decision making modules
- Develop backend APIs for model serving
- Develop model validation and testing
- Develop optimization simulation and statistical models
- Ensure code quality with unit tests and CI CD
- Evaluate model tradeoffs
- Mentor junior team members
- Perform feature engineering
- Present technical work to business partners
- Run feasibility studies with data requirements
Perks/Benefits
- N/A
Skills/Tech-stack
API Development | Backend APIs | Big Data | Big data processing | CI/CD | Computer Vision | Data Pipelines | Data Processing | Deep learning | Distributed Systems | Econometrics | Feature Engineering | Java | Language Processing | Machine Learning | Machine Learning Pipelines | Model Deployment | Natural Language | Natural Language Processing | Optimization | Probability | Python | R | Scala | Scalable Machine Learning Pipelines | Scalable machine learning | Simulation | Statistics | Unit Testing
Education
Bachelor of Arts | Bachelor of Engineering | Bachelor of Science
Roles
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