Executive/Senior Executive, Data & AI (Full Stack Engineer) - 1-year Contract

Overview

Design and develop full‑stack web apps to support data & AI initiatives.

Key Responsibilities

• ai integration
• data pipelines
• model deployment
• full‑stack dev
• code review
• dashboard development

Tasks

-Implement and optimize AI/ML features — such as predictive models, recommendation engines, or generative AI chatbots — within full stack applications. -Integrate data pipelines and APIs to connect various internal systems, databases, and external data sources into the enterprise analytics platform. -Support deployment of AI models and ensure seamless integration with production environments. -Design, develop, and deploy full stack web applications ( frontend, backend, database, and APIs ) to support data-driven and AI initiatives. -Collaborate with data scientists, analysts, and business stakeholders to translate business problems into scalable technology solutions. -Participate in code reviews, testing, and continuous improvement of software and model performance. -Explore new tools, frameworks, and methodologies to improve system scalability, efficiency, and user experience. -Develop and maintain dashboards, automation tools, and reporting systems for key business insights.

Requirements

• python
• react
• node.js
• sql
• docker
• bachelor's

What You Bring

-Strong problem-solving, communication, and teamwork skills. -Solid understanding of RESTful APIs, microservices architecture, and SQL/NoSQL databases. -1–3 years of hands-on experience in full stack development using frameworks such as React / Angular / Vue ( frontend ) and Node.js / Python / FastAPI / Django / .NET ( backend ). -Bachelor’s degree in Computer Science, Computer Engineering, Data Science, or related field. -Strong advocate of staff volunteerism -Proficient in Python or JavaScript/TypeScript with practical exposure to data analytics or machine learning workflows. -Familiarity with cloud platforms ( preferably Microsoft Azure, AWS, or GCP ) and DevOps tools ( Docker, Git, CI/CD ).

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Benefits

-Wellness programmes -Bonus: Practical experience with Generative AI, LLMs ( e.g., OpenAI, Azure OpenAI, LangChain ), or AI application development. -Training and development opportunities -Subsidised rates at Ascott serviced residences -Comprehensive medical coverage

About Capitaland

-It was founded in 2000 from the merger of DBS Land and Pidemco, evolving into a global real estate powerhouse. -Its business spans investment, development, and management of malls, offices, homes, lodging, and data centres. -Typical projects include flagship integrated developments like Raffles City, Jewel Changi Airport, and CapitaSpring. -Also manages serviced-residence brands (Ascott, Citadines, Somerset, Quest) and owns data centres in Asia and Europe. -Restructured in 2021 into two focused entities: Investment and Development.

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