(Sr.) Data Engineer/AI Trainer

1 Year ago • 3 Years +
Data Analysis

Job Description

Trend Micro seeks a skilled Data Engineer/AI Trainer to develop and maintain data pipelines, support business decisions, and leverage AI for productivity & opportunity. Strong SQL, Python, and LLM experience are essential.
Good To Have:
  • Databricks Experience
  • Data Visualization Tools
  • Machine Learning
  • NLP Techniques
Must Have:
  • Cloud Data Engineering
  • RDBMS & SQL
  • Python Data Processing
  • LLM Optimization
Perks:
  • Global Company
  • New Technology

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Join Trend ‧ Join New Generation

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[Our Team - Slime]

We are a dynamic team specializing in vendor and partner integration, campaign delivery, and data analysis for various Trend Micro products. Our mission is to analyze data from cross-domain sources to identify opportunities for business enhancement and support decision-making. We also collaborate with field sales and marketing teams to deliver vendor, partner and campaign integration services/systems to achieve business goals.

[Our Role - Data Engineer/AI Trainer]

  • Provide Business Intelligence Solutions: Develop and maintain good quality/performance data pipelines, interfaces, and reports for cloud BI platforms (Databricks/RedShift/BigQuery) to meet business requests and data inquiries.
  • Support Decision-Making: Gain expertise in consumer product domain knowledge and regional business context. Collaborate with business teams to define key metrics and analyze data to achieve business objectives.
  • Data Evangelist: Understand potential business needs and provide data analysis suggestion. Simultaneously, educate and guide business stakeholders on the correct utilization of data to support business decision-making.
  • AI Trainer for Productivity: Developing, optimizing, and deploying AI models to enhance internal productivity by leveraging data and machine learning techniques.
  • AI Trainer for Opportunity: Develop, optimize, and deploy AI models to solve business problems and seize opportunities by using data and machine learning techniques

[Qualifications / Requirements]

Essential

  • BS/MS in Computer Science or Information Engineering related
  • 3+ years’ experience in cloud service or data engineering development
  • Strong experience with RDBMS and solid SQL(MSSQL) programming/performance optimization skill
  • Strong communication, problem solving and analytical skills
  • Experience in data preprocess/issue tracing/analysis
  • Experience with LLM optimization skills (Prompt Engineering, RAG, Model tuning)
  • Familiar with python data processing tools (pandas, pyspark, polars, numpy)
  • Ability to work in a fast-paced, creative and collaborative environment
  • Passion for the new technology applied to job quality or performance improvement
  • Moderate English reading/writing skills

Big Plus

  • Experience with data store, ETL and analysis relate PaaS/SaaS services in Databricks (or AWS)
  • Experience in data visualization tools like Tableau (or Power BI)
  • Experience in Python
  • Solid understanding of machine learning algorithms and natural language processing (NLP) techniques, also has the ability to apply domain knowledge to AI model development and problem-solving
  • Experience in GitHub Action or other CI / CD services

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連結智慧 守護世界 --- Connected Intelligence for Securing a Connected World

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