Machine Learning Engineer (Recommendation) - Global E-Commerce
Tasks
- Apply statistics and programming knowledge
- Build real-time data pipelines
- Build recommendation systems
- Deploy scalable machine learning models
- Develop machine learning models and algorithms
- Integrate models with deployed software platforms
- Optimize recommendation models at scale
- Perform data mining and analysis
- Research recommendation algorithms
- Run model experiments and resolve bugs
Perks/Benefits
- N/A
Skills/Tech-stack
Apache Spark | Boosting trees | C plus plus | Cold Start | Collaborative Filtering | Data Mining | Data Processing | Deep Neural Networks | Deep learning | Factorization machines | Gradient Boosting Trees | Gradient boosting | Hive | Information Retrieval | Language Processing | Logistic Regression | Machine Learning | MapReduce | Matrix Factorization | Multi-task Learning | Natural Language | Natural Language Processing | Neural Networks | PyTorch | Python | Realtime data | Realtime data processing | Recommendation Systems | TensorFlow | Transfer Learning | Word2Vec
Education
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