Software & Data Analysis Engineer, Singapore

Description

Key Responsibilities

Design, develop, and maintain software applications that support customizable data analysis and AI-driven functionalities.
Build and enhance anAmoeba-based modular system that enables flexible configuration of data structures, workflows, and analytical components.
Develop and maintain data processing and transformation pipelines to support analytical and AI use cases.
Implement, integrate, and optimize AI and machine learning models for data analysis, automation, and intelligent insights.
Develop and maintain web-based applications and websites, ensuring reliability, performance, and security.
Create, document, and manage technical libraries and reusable components, including AI-enabled APIs and functions.
Collaborate with cross-functional teams to gather requirements and translate them into technical solutions.
Conduct testing, debugging, and performance optimization throughout the software development lifecycle.
Ensure code quality, maintainability, and compliance with development standards and best practices.
Maintain technical documentation and participate in code reviews and system enhancements.

Required Qualifications

Bachelor’s degree in Computer Science, Software Engineering, or a related field, or equivalent practical experience.
Proficiency in one or more programming languages such as Python, Java, JavaScript, C++, or similar.
Strong understanding of data processing, data analytics, and system integration.
Experience with AI and machine learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn, or equivalent).
Experience in web application development (frontend and backend).
Familiarity with modular, microservices, or plugin-based system architectures.
Knowledge of software version control systems (e.g., Git).

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Highlights

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