Data Science/ AI Engineer

Ambition Singapore; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

We are partnering with a globally recognised luxury brand to grow its data and AI capabilities across Southeast Asia. The regional team will build and deploy ML, GenAI and AI-driven solutions across customer, retail, marketing, merchandising and operations.

You will work closely with business, data and technology teams to turn real-world business problems into scalable AI products. Candidates should have 7+ years in Data Science/ML/AI, strong Python, production ML deployment, experience with

Qualifications

• 7+ years' experience in Data Science / ML / AI Engineering
• Strong Python + machine learning experience
• Hands-on experience deploying ML models into production
• Experience with GenAI, LLMs, RAG, embeddings or agentic AI
• Experience with A/B testing, experimentation and measuring business impact
• Exposure to Databricks, AWS SageMaker or Azure ML
• Exposure to Docker, Kubernetes and MLOps

Responsibilities

• Build and deploy ML, GenAI, and AI-driven solutions across multiple business areas
• Collaborate with business, data, and technology teams to translate problems into scalable AI products
• Partner with stakeholders to measure business impact and iterate on AI solutions

Skills

Python programming

Machine learning

Stakeholder management

Business partnering

Curiosity and hands-on with AI tools

Tools

Databricks

AWS SageMaker

Azure ML

Docker

Kubernetes

MLOps

Job description

I'm partnering with a globally recognised luxury brand with a strong regional presence across Southeast Asia, looking to grow its data and AI capabilities.

The Role

Join the regional team to build and deploy ML, GenAI and AI-driven solutions across customer, retail, marketing, merchandising and operations. You'll work closely with business, data and technology teams to turn real-world business problems into scalable AI products.

What we're looking for:

• 7+ years' experience in Data Science / ML / AI Engineering
• Strong Python + machine learning experience
• Hands-on experience deploying ML models into production
• Experience with GenAI, LLMs, RAG, embeddings or agentic AI
• Experience with A/B testing, experimentation and measuring business impact
• Experience with Databricks, AWS SageMaker or Azure ML
• Exposure to Docker, Kubernetes and MLOps
• Strong business partnering and stakeholder management skills
• Curious and hands-on with emerging AI tools and technologies

Regrettably, only shortlisted candidates will be notified.

Business Registration Number: 200611680D |Licence Number: 10C5117 |EA Registration Number: R23115372