Applied AI Engineer

SKINLAB THE MEDICAL SPA PTE. LTD.; Singapore; On-site; SGD 100,000 - 180,000; Full time

Job summary

SKINLAB THE MEDICAL SPA PTE. LTD. seeks an Applied AI Engineer to explore, develop and implement practical AI solutions across the business. This hands-on role emphasizes building, experimenting and turning ideas into usable software that informs decision making and customer engagement.

You will work with marketing, data engineers and developers to deploy AI capabilities, ensure data privacy, and document findings for stakeholders while staying current with evolving AI tech and tools.

Qualifications

• Degree or diploma in Computer Science, Artificial Intelligence, Data Science, Software Engineering, Business Analytics, Marketing Analytics or a related field.
• Relevant experience in AI, machine learning, data science, analytics or software development.
• Good Python programming skills.
• Practical experience building AI, machine learning or data-driven applications.
• Familiarity with large language models, prompt engineering, AI APIs or related technologies.
• Familiarity with APIs, databases, Git and cloud-based applications.
• Ability to understand business needs, customer behaviour and marketing objectives.
• Able to translate data and AI outputs into practical business insights.
• Good analytical, problem-solving and communication skills.
• Comfortable working with both technical and non-technical stakeholders.
• Willing to learn, experiment and work across different business use cases.

Responsibilities

• Identify suitable opportunities to apply AI, machine learning and automation within the business.
• Work with business, marketing and management users to understand requirements and translate them into practical AI-enabled solutions.
• Develop AI solutions that support customer insights, marketing analysis, campaign effectiveness, customer engagement and business reporting.
• Build applications and features using large language models, machine learning models and AI services.
• Collaborate with the Data Engineer and Full-stack Developers to integrate AI capabilities into internal systems and workflows.
• Test, evaluate and improve AI solutions based on business needs, accuracy, reliability, usability and cost.
• Support the deployment, monitoring and ongoing improvement of AI solutions.
• Present AI outputs, findings or recommendations in a way that is understandable and useful to non-technical stakeholders.
• Maintain clear technical documentation for developed solutions.
• Apply appropriate controls for data privacy, security and responsible use of AI.
• Keep up to date with relevant AI technologies and recommend suitable tools for practical business adoption.

Skills

Python programming

AI / ML

APIs

Git

Cloud computing

Education

Degree in CS/AI/Data Science or related

Tools

Large language models

SQL

Job description

Role Overview

We are looking for an Applied AI Engineer to help us explore, develop and implement

practical AI solutions across the business.

This is a hands‑on role suited for someone who enjoys building, experimenting and

turning ideas into useful solutions. The role requires not only technical capability, but

also the ability to understand business needs, customer behaviour, marketing objectives

and management reporting requirements.

You will help shape how AI is adopted within the organisation, with a focus on solutions

that support business decision‑making, customer engagement and operational

improvement.

Key Responsibilities

• Identify suitable opportunities to apply AI, machine learning and automation

  within the business.

• Work with business, marketing and management users to understand

  requirements and translate them into practical AI‑enabled solutions.

• Develop AI solutions that support customer insights, marketing analysis,

  campaign effectiveness, customer engagement and business reporting.

• Build applications and features using large language models, machine learning

  models and AI services.

• Collaborate with the Data Engineer and Full‑stack Developers to integrate AI

  capabilities into internal systems and workflows.

• Test, evaluate and improve AI solutions based on business needs, accuracy,

  reliability, usability and cost.

• Support the deployment, monitoring and ongoing improvement of AI solutions.

• Present AI outputs, findings or recommendations in a way that is understandable

  and useful to non‑technical stakeholders.

• Maintain clear technical documentation for developed solutions.

• Apply appropriate controls for data privacy, security and responsible use of AI.

• Keep up to date with relevant AI technologies and recommend suitable tools for

  practical business adoption.

Requirements

• Degree or diploma in Computer Science, Artificial Intelligence, Data Science,

  Software Engineering, Business Analytics, Marketing Analytics or a related field.

• Relevant experience in AI, machine learning, data science, analytics or software

  development.

• Good Python programming skills.

• Practical experience building AI, machine learning or data‑driven applications.

• Familiarity with large language models, prompt engineering, AI APIs or related

  technologies.

• Familiarity with APIs, databases, Git and cloud‑based applications.

• Ability to understand business needs, customer behaviour and marketing

  objectives.

• Able to translate data and AI outputs into practical business insights.

• Good analytical, problem‑solving and communication skills.

• Comfortable working with both technical and non‑technical stakeholders.

• Willing to learn, experiment and work across different business use cases.

Good to Have

• Experience in business analytics, marketing analytics, CRM, customer

  segmentation or campaign analysis.

• Familiarity with machine learning libraries such as scikit‑learn, PyTorch,

  TensorFlow or equivalent.

• Familiarity with retrieval‑augmented generation, AI agents, embeddings or vector

  databases.

• Experience deploying applications in cloud or containerised environments.

• Understanding of model monitoring, testing and responsible AI practices.

• Experience working in a growing company or building solutions in an evolving

  environment.