AI Platform Engineer at Keppel Capital International

Singapore, , Singapore -

Full Time

Start Date

Immediate

Expiry Date

06 Jan, 26

Salary

0.0

Posted On

08 Oct, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, AWS, Data Pipelines, AI Services, Business Intelligence, Data Models, Code Reviews, Unit Testing, Integration Testing, Collaboration, Documentation, Data Engineering Best Practices, Frontend Engineering, Backend Engineering, Product Management, Analytics

Industry

Financial Services

Description

JOB DESCRIPTION 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. JOB REQUIREMENTS Develop, maintain, and optimize scalable data pipelines using Python and AWS services (e.g., S3, Lambda, ECS, RDS, SNS/SQS, Vector DB). Develop unit and integration tests and contribute to engineering documentation. Collaborate with analytics and business teams to improve data models for business intelligence. Work closely with frontend and backend engineers, product managers, and analysts to ensure successful project delivery. Participate in code reviews and contribute to the improvement of data engineering best practices. BUSINESS SEGMENT Corporate PLATFORM Operating Division Keppel is a global asset manager and operator headquartered in Singapore. With operations in more than 20 countries worldwide, we provide innovative solutions that address some of the world's most pressing needs across the energy transition, rapid urbanisation, and increasing digitalisation. With sustainability at the core of our strategy, Keppel harnesses the strengths and expertise of our business units to develop, operate and maintain real assets, which provide diverse solutions that are good for the planet, for people and for the Company. Keppel actively seeks out bright and dynamic individuals to join our talent pool. We offer our employees opportunities to grow and shape their careers, across the geographies in which we operate. Be part of our Keppel family today. Find out how Keppel is committed to shaping a brighter, better tomorrow, and building a sustainable future for all.

Responsibilities

Develop and maintain scalable data pipelines while ensuring seamless integration with AI platforms. Collaborate with analytics and business teams to enhance data accessibility and drive data-driven decision making.