Senior Data Science & AI Engineer (GenAI, MLOps)

Ambition Singapore

Singapore

On-site

SGD 120,000 - 180,000

Full time

3 days ago
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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

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

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