Data Science and AI Engineer

Ambition Singapore; Singapore; On-site; SGD 90,000 - 130,000; Full time

Job summary

Ambition Singapore is seeking a Data Science & AI Engineer to design and deploy advanced analytics, machine learning, and Generative AI solutions that drive business growth and enhance customer experiences in a luxury brand setting.

You will build ML models, predictive analytics, and GenAI applications using Python, LLMs, and RAG frameworks, working with cross-functional teams to translate complex business challenges into scalable AI products while upholding governance.

Qualifications

• Experience in building ML models and deploying analytics products.
• Hands-on with GenAI, LLMs, RAG, and AI agents.
• Proficient in cloud AI platforms (Databricks, SageMaker, Azure ML).
• Knowledge of MLOps, containers, and model monitoring.
• Strong communication with cross-functional teams.

Responsibilities

• Design and deploy advanced analytics and ML solutions.
• Develop GenAI applications and recommendation engines.
• Collaborate with business and tech teams to translate problems into AI products while ensuring governance.
• Translate insights into scalable AI roadmaps.

Skills

Machine Learning

Data Science

Python development

GenAI

LLMs

RAG

AI agent frameworks

Communication

Tools

Databricks

AWS SageMaker

Azure Machine Learning

Docker

Kubernetes

Git

LangChain

LangGraph

Vector databases

Job description

Our client, a leading global luxury brand, is seeking a Data Science & AI Engineer to design and deploy advanced analytics, machine learning, and Generative AI solutions that drive business growth, enhance customer experiences, and optimize operations.

The role involves developing ML models, predictive analytics, recommendation engines, forecasting solutions, and GenAI applications using Python, LLMs, RAG frameworks, embeddings, and agentic AI technologies. You will partner closely with business and technology teams to translate complex business challenges into scalable AI products while ensuring responsible AI practices and governance.

Key Requirements:

• Strong experience in Machine Learning, Data Science, and Python development.
• Hands-on exposure to GenAI, LLMs, RAG, vector databases, LangChain/LangGraph, and AI agent frameworks.
• Experience with cloud-based AI platforms such as Databricks, AWS SageMaker, or Azure Machine Learning.
• Knowledge of model deployment, MLOps, Docker, Kubernetes, Git, and model monitoring.
• Ability to communicate insights effectively and collaborate with cross-functional stakeholders.

This is an exciting opportunity to work on cutting-edge AI initiatives, influence business strategy, and shape the future of AI-driven decision-making within a highly innovative and data-driven environment.