Senior Applied AI Engineer
Tasks
- Architect and implement scalable ml infrastructure
- Build features and end-to-end systems
- Develop and deploy ML/AI models
- Develop forecasting modeling techniques
- Drive ML model development with engineering and product teams
- Implement model monitoring and scaling
- Participate in open-source projects
- Train and serve ML models for production
Perks/Benefits
Skills/Tech-stack
Artificial Intelligence | Automl | Classification | Code review | Continuous Deployment | Deep learning | Feature Engineering | Forecasting | Machine Learning | Model Serving | Model Training | Model Tuning | Optimization Algorithms | Recommendations | Regression | Scalable systems | Software testing
Education
N/A
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