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Michael Page Hiring! Full Time BI Engineer - Michael Page in Hong Kong - Ricebowl

BI Engineer - Michael Page

Undisclosed

Hong Kong

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Working Location

  • Hong Kong Hong Kong Hong Kong

Job Description

Responsibilities

  • 1 year renewable contract, min 2 years experience
  • Python/R, SQL, LLM prompt
About Our Client

The company is a large organization in the financial services industry, known for its global presence and commitment to innovation. It is focused on leveraging technology to drive business growth and deliver exceptional solutions to its clients.

Job Description

As an AI Data Engineer, your main responsibilities will include:

  • Analyzing large datasets to identify trends and actionable insights.
  • Developing and maintaining machine learning models to support business objectives.
  • Collaborating with cross-functional teams to define data requirements and project goals.
  • Generating reports and visualizations to communicate findings effectively to stakeholders.
  • Ensuring data accuracy and completeness through thorough validation processes.
  • Supporting the implementation of AI-driven solutions across various departments.
  • Staying updated on the latest AI and data analytics trends to recommend best practices.
  • Providing technical support and guidance on data-related issues as needed.
The Successful Applicant
  • A strong academic background in data science, computer science, or a related field.
  • Min. 2 years of experience in Machine Learning/ AI Engineering
  • Proficiency in programming languages such as Python, R, or SQL.
  • Experience working with machine learning frameworks and tools.
  • Excellent problem-solving and critical-thinking skills.
  • The ability to communicate complex data insights in a clear and concise manner.
  • A keen interest in AI technologies and their applications in financial services.
What's on Offer
  • Hands-on experience with AI technologies in the financial services industry.
  • Opportunity to work in a large organization with a global reach.
  • Collaborative work environment and exposure to diverse projects.

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