Data Mining Engineer

1 week ago

Singapore Ola Chat Full time
  • Design and develop data platform architecture, ensuring the stability and high availability of data platform services.
  • Design, develop, and continuously optimize functionalities of big data components such as offline/real-time data processing, data governance, self-service analytics reports, and OLAP query engines.
  • Explore the data agent system for large models, building Agents with natural language understanding and data operation capabilities to enhance the intelligence of data analysis, processing, and pipeline construction.
  • Establish a full lifecycle management system for training data, covering metadata, lineage, quality assessment, and automated evaluation, ensuring controllable and high-quality data for large model training.

Job Requirements

  • Over 5 years of experience in big data platform-related work, with a bachelor's degree or above in computer science, software engineering, artificial intelligence, mathematics, or related fields.
  • Proficient in mainstream frameworks such as Spring Boot and MyBatis, with good web development skills (Vue); experience in enterprise-level big data system software integration and development is preferred.
  • Familiar with the features and application scenarios of components such as Hadoop, Spark, Flink, Kafka, Paimon, ClickHouse, Doris, and able to solve problems encountered during use.
  • Experience in building large-model data systems, multi-modal data processing systems, and interest in LLM Agents, AutoML, and intelligent data processing workflows, with the ability to explore and implement solutions preferred.
  • Familiar with large model applications and related technologies such as RAG, MCP, Agent, etc.
  • Highly responsible, quick learner, good communicator, thoughtful, with strong teamwork skills; team management experience is a plus.
Seniority level
  • Seniority level Mid-Senior level
Employment type
  • Employment type Full-time
Job function
  • Job function Information Technology
  • Industries Technology, Information and Media

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