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RIO Technology

AI Marketing Engineer

RIO Technology

Posted

2 days ago

Ho Chi Minh City, Vietnam

Onsite

VND 30M

Mid Level

Full Time

Match

Skills

Experience

Industry

Sema

Sema Summary

As an AI Marketing Engineer at RIO Technology, you will leverage your expertise in marketing and artificial intelligence to optimize campaigns and enhance customer engagement. You should have a strong background in data analysis and technology integration, ideally with experience in machine learning applications. This is a mid-level full-time position based in Ho Chi Minh City, Vietnam, which involves collaboration with cross-functional teams to develop innovative marketing solutions. Candidates should prepare for a fast-paced environment and a focus on results.

About Company

RIO Technology is a forward-thinking enterprise dedicated to harnessing the power of technology in marketing. With a focus on innovation and efficiency, the company aims to transform traditional marketing strategies through AI and data-driven insights.

Core Requirements

  • Bachelor's degree in Marketing or related field
  • Experience with AI applications in marketing
  • Strong analytical skills
  • Knowledge of data-driven decision making
  • Ability to work in a team-oriented environment

Responsibilities

  • Develop and implement AI-driven marketing strategies
  • Analyze data to measure marketing effectiveness
  • Collaborate with product teams to enhance user experience
  • Monitor trends in artificial intelligence in marketing
  • Create reports on campaign performance
  • Manage marketing technology tools
  • Lead innovative projects that integrate AI into marketing

Must Have skills

Data analysisMachine learningDigital marketingTeam collaborationProject management

Nice To Have Skills

CRM systemsPythonSEO knowledgeCommunication skillsCreativity

Tools Knowledge Requried

Google AnalyticsCRMMachine learning platformsMarketing automation toolsData visualization software

Job Keywords

AI marketingdata analysisdigital strategiescampaign optimizationmachine learning

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