Senior Data Scientist – ML Classification & Content Safety
Pune City, Maharashtra, India
R
INR 3000K-4000K (estimate) Senior-level Full Time
Tasks
- Build and maintain training data pipelines
- Build labeled evaluation datasets with annotation workflows
- Collaborate with engineering on latency and reliability constraints
- Connect offline evaluation to production monitoring
- Detect classification drift and error patterns
- Drive content classification evaluation methodology
- Integrate model outputs into production filtering stack
- Investigate misclassification errors with root cause analysis
- Maintain model cards with metrics and confusion matrices
- Mentor data science team on applied ML rigor
- Participate in on call incident lifecycle and retrospectives
- Prototype model improvements with active learning and domain adaptation
- Refactor binary models to multiclass and multilabel classification
Perks/Benefits
- N/A
Skills/Tech-stack
A/B | A/B Testing | AWS SageMaker | Active Learning | Annotation Workflows | B testing | Class imbalance | Cloud ML | Confusion matrix | Data Pipelines | Data Versioning | Data cleaning | Domain Adaptation | Experiment tracking | Google Cloud | Google Cloud Vertex | Google Cloud Vertex AI | Language Processing | Machine Learning | Model Cards | Model Deployment | Model Evaluation | Multiclass Classification | Multilabel classification | Natural Language | Natural Language Processing | NumPy | Pandas | Precisión | PyTorch | Python | Recall | Reproducible Research | Scikit-learn | TF-IDF | TensorFlow | Text Mining | Training Data Pipelines | Training data | Vertex AI
Education
N/A
Roles
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