Data Science and AI Engineer

AMBITION GROUP SINGAPORE PTE. LTD.; Singapore; On-site; SGD 120,000 - 170,000; Full time

Job summary

PVH (Tommy Hilfiger/Calvin Klein) in Singapore seeks a Data Science & AI Engineer to design and deploy advanced analytics, ML, and Generative AI solutions that drive business growth and enhance customer experiences.

You will develop ML models, forecasting, recommendations, and GenAI apps using Python, LLMs, RAG frameworks, embeddings, and agentic AI technologies, partnering with business and technology teams while upholding responsible AI governance.

Qualifications

• Experience in building and deploying ML models and analytics solutions.
• Hands-on with GenAI, LLMs, RAG pipelines and vector databases.
• Experience with cloud-based AI platforms (Databricks, SageMaker, Azure ML).
• Knowledge of MLOps, containerization (Docker) and orchestration (Kubernetes), version control (Git).
• Strong communication skills to translate insights to business stakeholders.

Responsibilities

• Design and deploy advanced analytics and AI solutions for business impact.
• Develop ML models, predictive analytics and recommendation engines.
• Collaborate with cross-functional teams to translate business challenges into AI products.
• Ensure responsible AI governance and monitoring across deployments.

Skills

ML & DS

GenAI/LLMs

Cloud AI platforms

MLOps & DevOps

Stakeholder comms

Tools

Docker

Kubernetes

Git

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.

EA Registration Number: R1551322

Data provided is for recruitment purposes only

Business Registration Number: 200611680D.

License Number: 10C5117