Senior Machine Learning Engineer (Data & Audience Platform Team), Hyderabad
Hyderabad - Phoenix Equinox Tower 2, India
INR 2817K-3880K (estimate) Senior-level Full Time
Tasks
- Apply causal inference for incrementality measurement
- Build batch and near real time inference pipelines
- Build reproducible auditable ML pipelines with drift detection
- Collaborate with product data engineering and ad sales stakeholders
- Define offline and online experimentation and evaluation frameworks
- Design scalable feature pipelines and feature contracts
- Develop and optimize machine learning models and ranking systems
- Implement MLOps including model versioning and monitoring
- Integrate ML pipelines with feature stores and activation systems
- Lead end to end production ML system development
- Mentor engineers and drive technical standards
- Own ML product workstreams for identity resolution and audience modeling
- Use AI assisted development and agentic AI workflows
Perks/Benefits
Skills/Tech-stack
A/B | A/B Testing | AUC-ROC | AWS Lambda | AWS S3 | AWS SageMaker | B testing | Calibration Curves | Causal Inference | Clean rooms | Data Clean Rooms | Databricks | Delta Lake | Drift Detection | Embedding | Entity Resolution | Feature Store | Gradient boosting | Graph matching | Incrementality Modeling | Isotonic Regression | Langchain | Langgraph | Language Models | Large Language Models | LightGBM | MLOps | MLflow | Machine Learning | Model Monitoring | NDCG | Neural Networks | Precision-recall | Probability calibration | Propensity scoring | PySpark | Python | RAG | Ranking | Recommendation Systems | SQL | Snowflake | Two Tower Retrieval | Two-Tower | Unity Catalog | Uplift Modeling | XGBoost
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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