Senior Machine Learning Engineer
Tasks
- Build real-time monitoring systems
- Conduct offline metrics backtesting and online AB analysis
- Coordinate cross functional model rollouts
- Deploy models and systems end to end
- Design evaluation frameworks
- Identify scaling constraints in training and serving
- Implement rollback plans and monitoring
- Improve inference latency
- Lead complex machine learning model development
- Mentor junior machine learning contributors
- Protect production systems with guardrails and staged rollouts
- Run hypothesis driven model iteration experiments
Perks/Benefits
- N/A
Skills/Tech-stack
A/B | A/B Testing | Apache Airflow | Apache Flink | Apache Spark | B testing | Boosted Trees | Causal Inference | Classification | Data Quality | Experimental Design | Feature Drift | GRPC | Gradient Boosted Trees | Kafka | MLOps | MLflow | Machine Learning | Model Registry | Neural Networks | Prefect | Probability | Python | REST | Ranking | Regression | SQL | Statistics
Education
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