Senior Data Scientist – ML Classification & Content Safety
INR 3000K-4000K (estimate) Senior-level Full Time
Tasks
- Analyze precision recall F1 and confusion matrix
- Build labeled evaluation datasets
- Build training data pipelines for ingestion cleaning labeling and versioning
- Collaborate on production integration with latency and reliability constraints
- Create model cards for each model release
- Define model evaluation methodology
- Explore active learning for label efficiency
- Handle class imbalance and label noise
- Investigate false positives and false negatives
- Lead incident lifecycle with detection diagnosis resolution and retrospective
- Lead multiclass content classification model refactor
- Mentor data science team on applied ML rigor
- Monitor classification drift in production
- Perform root cause analysis for misclassifications
- Prototype domain adaptation for emerging categories
- Prototype feature representations and model architectures
Perks/Benefits
Skills/Tech-stack
A/B | A/B Testing | AWS SageMaker | B testing | Class imbalance | Confusion matrix | Data Annotation | Data Pipelines | Data Versioning | Embeddings | Google Vertex | Google Vertex AI | Label Noise | Language Processing | Machine Learning | Model Evaluation | Multiclass Classification | Multilabel Classification | Natural Language | Natural Language Processing | NumPy | Pandas | Precision-recall | PyTorch | Python | Scikit-learn | TF-IDF | TensorFlow | Text Classification | Vertex AI
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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