Data Scientist
Tasks
- Analyze model performance and failure cases
- Design experiments to evaluate generative models
- Develop ML-powered product features
- Diagnose issues in model training and output quality
- Integrate ML components into production systems
- Participate in agile processes and code reviews
- Recommend feature approaches for constraints and data quality
- Translate findings into documentation and user insights
- Tune hyperparameters and refine architectures
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Autoregressive models | CI/CD | Data Imputation | Data Preprocessing | Diffusion Models | FastAPI | Feature Engineering | Flask | Generative Models | Git | Hyperparameter Tuning | Machine Learning | Probabilistic Models | PyTorch | Python | REST API | Scikit-learn | TensorFlow
Education
N/A
Roles
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