Senior Machine Learning Engineer (Consumer Team), Hyderabad
Hyderabad - Phoenix Equinox Tower 2, India
INR 3470K-5000K (estimate) Senior-level Full Time
Tasks
- Architect probabilistic identity resolution systems for household matching
- Build identity resolution and audience intelligence ML models
- Create design docs and drive postmortems and reusable standards
- Design low latency online serving systems for fraud scoring and personalization
- Design offline and online evaluation and experimentation plans
- Develop forecasting ML for growth demand yield and pricing
- Fuse real time streaming signals with batch features for online scoring
- Improve feature and label quality and prevent leakage
- Integrate personalization signals into batch and real time activation
- Mentor MLE engineers through architecture reviews and implementation guidance
- Monitor models and continuously improve performance
- Perform bias checks calibration and explainability
Perks/Benefits
Skills/Tech-stack
A/B | A/B Testing | AWS | Amazon SageMaker | Apache Spark | B testing | Bias Mitigation | Calibration | Databricks | Deep learning | Experiment design | Explainable AI | Feature Engineering | Feature Store | Fraud Detection | Identity resolution | LightGBM | Low Latency | Low Latency Inference | MLOps | Machine Learning | Model Monitoring | Model Serving | Model Training | Online Learning | Personalization | PyTorch | Python | Ranking | Recommendation Systems | SQL | Scala | Scikit-learn | Series forecasting | Snowflake | TensorFlow | Time Series | Time Series Forecasting | XGBoost
Education
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