R0006613 (Sr.) Data Engineer/AI Trainer

[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