AI/ML Engineer II
Tasks
- Apply software architecture for data modeling
- Design data and knowledge representation methods
- Execute test and evaluation protocols
- Identify data distribution shifts
- Improve models using results
- Integrate AI/ML systems
- Oversee AI ML verification and validation
- Perform statistical analysis
- Research and implement AI/ML algorithms
- Run machine learning algorithms
- Select data sets
- Train and retrain models
- Transform prototypes into scalable solutions
- Verify data and model output quality
Perks/Benefits
- N/A
Skills/Tech-stack
Data Modeling | Data Quality | Data Structures | Knowledge representation | Machine Learning | Model Evaluation | PyTorch | Software Architecture | Statistical Analysis | TensorFlow
Education
Roles
AI | AI/ML Engineer | Engineer | Learning Engineer | ML Engineer | Machine Learning Engineer
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