AI/ML Research Associate
Tasks
- Analyze uncertainty and errors
- Apply trustworthy robust machine learning practices
- Build reproducible data pipelines
- Check bias
- Conduct experimentation and ablation studies
- Define AIML problem statements
- Define success metrics and validation plans
- Deliver technical writeups and presentations
- Develop machine learning models
- Document methods and recommendations
- Ensure traceability
- Evaluate model performance
- Monitor models
- Perform cross-validation
- Perform feature engineering
- Prevent data leakage
- Prototype proof of concept tools
Perks/Benefits
- N/A
Skills/Tech-stack
Ablation Studies | Anomaly Detection | CI/CD | Classification | Code review | Computer Vision | Cross-validation | Data labeling | Dataset versioning | Docker | Experiment design | Feature Engineering | Git | Language Processing | MLOps | Model Monitoring | Model versioning | Natural Language | Natural Language Processing | NumPy | Pandas | PyTorch | Python | RAG | Regression | Scikit-learn | TensorFlow | Time Series | Uncertainty Quantification | Unit Testing | Verification and Validation
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
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