
Senior E-commerce Recommendation Systems Specialist
6 days ago
Key Responsibilities:
- Design and implement efficient offline data architectures for large-scale recommendation systems.
- Design and implement flexible, scalable, stable, and high-performance storage and computing systems.
- Troubleshoot production systems and design necessary mechanisms and tools to ensure overall operation stability.
- Build industry-leading distributed systems such as storage and computing to provide reliable infrastructure for massive data and large-scale business systems.
- Develop and implement techniques and analytics applications to transform raw data into meaningful information using data-oriented programming languages and visualization software.
- Apply data mining, data modeling, natural language processing, and machine learning to extract and analyze information from large structured and unstructured datasets.
Qualifications:
- Bachelor's degree or above in computer science, software engineering, or a related field.
- Familiarity with many open-source frameworks in the big data field, including Hadoop, Hive, Flink, Spark, Kafka, HBase, Redis, RocksDB, and ElasticSearch.
- Familiarity with Java, C++, and other programming languages.
- Strong coding and troubleshooting ability.
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