Staff Machine Learning Engineer (Consumer Team), Hyderabad
Hyderabad - Phoenix Equinox Tower 2, India
INR 3242K-5000K (estimate) Senior-level Full Time
Tasks
- Architect probabilistic identity resolution systems
- Build ML models for identity resolution and audience intelligence
- Design low latency online serving systems for fraud scoring
- Design offline and online evaluation and promotion criteria
- Fuse real time streaming and batch features for online scoring
- Improve feature and label quality leakage prevention bias checks calibration
- Lead audience intelligence and content affinity modeling
- Manage incidents and postmortems into reusable standards
- Mentor engineers through architecture reviews and implementation guidance
- Own forecasting ML systems and monitoring
Perks/Benefits
Skills/Tech-stack
A/B | A/B Testing | AWS | Agentic AI | Apache Spark | B testing | Bias detection | Calibration | Data pipeline | Databricks | Experiment design | Explainability | Feature Engineering | Feature serving | Graph Machine Learning | Identity resolution | LLM | LightGBM | Low Latency | Low Latency Inference | MLOps | Machine Learning | Monitoring | Personalization | Probabilistic Modeling | PyTorch | Python | Ranking | Real Time | Real-time Feature Serving | Recommendation Systems | SQL | Scikit-learn | Series forecasting | Snowflake | TensorFlow | Time Series | Time Series Forecasting | XGBoost
Education
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