Data Scientist – AI/ML Modeling
Tasks
- Build reproducible modeling workflows
- Collaborate on datasets experiments and benchmarking
- Convert customer workflow into ML problem statements
- Define evaluation metrics and validation methods
- Design train validate optimize ML DL models
- Document experiments results limitations and validation evidence
- Ensure scientific validity explainability and reproducibility
- Monitor applied AI ML research and evaluate practical methods
- Select and adapt scientific data architectures
- Translate prototypes into product ready inference APIs
Perks/Benefits
- N/A
Skills/Tech-stack
API Development | Anomaly Detection | CI/CD | Computer Vision | Data Versioning | Data traceability | Deep learning | Experiment tracking | Explainable AI | Hyperparameter Tuning | Image analysis | Machine Learning | Model Deployment | Model Evaluation | Model Validation | Model versioning | NumPy | Optimization | Pandas | PyTorch | Python | Scikit-learn | Series analysis | Signal Processing | Statistics | TensorFlow | Time Series | Time Series Analysis | Uncertainty Quantification
Education
Roles
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