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阿里云阿里云智能-计算平台解决方案-大数据AI产品解决方案国际业务

社招全职5年以上云智能集团地点:北京 | 杭州 | 上海状态:招聘

工作描述


任职要求
• Education: Bachelor's degree or higher in Computer Science, Software Engineering, or a related field.
• English Proficiency: Strong written and verbal English skills, capable of conducting in-depth technical exchanges and product solution discussions with international English-speaking clients.
• Experience: 5+ years of experience in the Big Data & AI domain, including at least 2 years in roles such as Solution Architect, Technical Consultant, or transitioning from a core R&D position.
• Distributed Computing Frameworks: Deep understanding of the principles, tuning, and applicable scenarios of core components including Hadoop, Spark, Flink, Presto/Trino, and Kafka.
• Data Architecture Evolution: Profound understanding and hands-on experience with Lambda architecture, Kappa architecture, and Data Lakehouse architecture, knowledgeable about compute-storage separation architecture design and cloud-based Big Data services (e.g., EMR, MaxCompute, Redshift).
• Data Storage & Format: Familiarity with object storage systems like HDFS, S3, and OSS, expertise in open table formats such as Parquet, ORC, Delta Lake, Iceberg, and Hudi.
• AI Infrastructure Hardware: Solid foundation in AI Infra hardware, including heterogeneous computing server architectures, high-performance networking, GPU/AI chips and interconnects, CPU/GPU/Memory/Storage access patterns, server networking topologies, multi-level storage system architectures, and their capability boundaries.
• AI Practical Skills: Hands-on capabilities in Python/Shell programming, invoking Large Language Model (LLM) SDKs, and utilizing mainstream open-source frameworks, product SDKs, or standardized services for ML/DL model inference, training, and deployment.
• Data Governance & Security: Familiarity with data lineage, metadata management, data quality monitoring, and privacy-preserving computation technologies.
• Business Acumen: Ability to comprehend customer business objectives (cost reduction, efficiency improvement, compli…
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包括英文材料
学历+
R+
Hadoop+
Spark+
Presto+
Kafka+
Redshift+
HDFS+
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