AI Platform Engineer

Overview

Build and maintain scalable Python/AWS data pipelines integrating AI platforms

Key Responsibilities

• data pipelines
• aws integration
• python development
• ai integration
• data modeling
• bi collaboration

Tasks

-Develop, maintain scalable data pipelines and builds out new integrations to support continuing increases in data volume and complexity. Develop and maintain scalable, optimized data pipelines leveraging Python and AWS services to support increasing data volume and complexity, while ensuring seamless integration with AI platforms like Bedrock and Google. Further enhance data accessibility and drive data-driven decision making by collaborating with analytics and business teams to refine data models for business intelligence tools. Strong exposure to work with AI Services like Bedrock, Google (Gemini), and OpenAI Models etc.

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About Keppel Ltd.

-It operates across ~30 countries, managing funds, real assets and major investment platforms. -In 2023 it completed the divestment of its offshore & marine arm, pivoting fully to infrastructure, real estate and connectivity. -Projects range from luxury waterfront developments like Reflections at Keppel Bay to large-scale energy, data centre and cable infrastructure. -Typical work includes renewable energy systems, district cooling, sustainable urban renewal, senior living and subsea cable networks. -Unusually, the company splits into three integrated platforms—funds, investments and operations—covering the lifecycle from capital to delivery.

Sector Specialisms