Analytics Engineer — AI Delivery & Productionization

Harbourvest Partners (U.K.) Limited

Singapore

Hybrid

SGD 70,000 - 95,000

Full time

14 days+

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Benefits offered by this job

5 additional remote days per quarter

Job summary

Harbourvest Partners (U.K.) Limited is seeking an Artificial Intelligence Engineer in Singapore to scale Data Science and AI delivery in APAC. The role involves deploying and productionizing analytics solutions and collaborating with business stakeholders to align prototypes with enterprise standards.

The ideal candidate will have strong engineering foundations, significant experience in analytics engineering, and familiarity with tools like Python and Power BI. This hybrid role encourages continuous learning in a diverse environment.

Qualifications

  • Strong engineering foundations for building reliable analytics solutions.
  • Experience with Python and cloud-based deployment concepts.
  • Analytical thinking and clear communication skills.

Responsibilities

  • Productionize Data Science and AI prototypes into reliable applications.
  • Enable business users with technical guidance and templates.
  • Collaborate with global teams for deployment and architecture standards.
  • Maintain and enhance existing analytics products.

Skills

Python application development
Analytics engineering
AI engineering
DevOps practices
Version control (Git)

Education

Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering

Tools

Power BI
Snowflake

Job description

Harbourvest Partners (U.K.) Limited is seeking an Artificial Intelligence Engineer in Singapore to scale Data Science and AI delivery in APAC. The role involves deploying and productionizing analytics solutions and collaborating with business stakeholders to align prototypes with enterprise standards.

The ideal candidate will have strong engineering foundations, significant experience in analytics engineering, and familiarity with tools like Python and Power BI. This hybrid role encourages continuous learning in a diverse environment.

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