Senior Machine Learning Engineer, Relevance and Personalization
Tasks
- Build end to end ranking algorithms
- Collaborate with cross functional teams to prioritize machine learning requirements
- Detect concept drift
- Develop machine learning models for search and recommendation
- Enable low latency model serving
- Improve feature engineering pipelines
- Operate batch and real time model pipelines
- Perform model interpretability
- Productionize machine learning models
- Quantify business impact using experimentation
- Run hyperparameter optimization
Perks/Benefits
Skills/Tech-stack
A/B | A/B Testing | Apache Airflow | Apache Kafka | Apache Spark | B testing | Computer Vision | Concept drift | Concept drift detection | Deep learning | Drift Detection | Feature Engineering | Hive | Kubernetes | Language Processing | Low Latency | Low-latency serving | Machine Learning | Machine Learning Infrastructure | Natural Language | Natural Language Processing | Neural Networks | Optimization | PyTorch | Ranking algorithms | TensorFlow | Test-Driven | Test-Driven Development
Education
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