AI Engineer (Hybrid)
Tasks
- Conduct exploratory data analysis
- Deploy models using MLOps
- Design AI solutions
- Develop AI models
- Evaluate model performance
- Implement model testing and validation
- Integrate AI into software architecture
- Maintain AI systems
- Maintain models at scale
- Prepare structured and unstructured data
- Present AI approaches to stakeholders
- Prototype AI systems
- Train machine learning models
- Write production-quality code
Perks/Benefits
- 401k contribution
- AD&D insurance
- Health Savings Account contribution
- Hybrid work
- Life insurance
- Long-term disability insurance
- Medical/Dental/Vision insurance
- Paid time off
- Short-term Disability Insurance
Skills/Tech-stack
Amazon Web Services | Cloud Computing | Data Analysis | Data Modeling | Data Quality | Deployment | Exploratory Data Analysis | MLOps | Machine Learning | Model Evaluation | Model Testing | Python | Structured data | Unstructured Data | Web Services
Education
Roles
AI | AI Engineer | Engineer
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