Data Science and AI Engineer
Summary
Design and deploy ML models, GenAI apps, and predictive systems using Python, LLMs, and cloud AI platforms to drive business growth and optimize operations.
Roles & Responsibilities
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. To Apply: Interested applicants please send your resume in MS Words format to pooja.yadav@ambition.com.sg and attention to
Pooja (R1551322) Short listed candidates will be notified
EA Registration Number: R1551322 Data provided is for recruitment purposes only Business Registration Number: 200611680D. License Number: 10C5117 Tell employers what skills you have Azure AI Machine Learning Git AI Agents Kubernetes LangGraph Model Deployment SageMaker Azure Machine Learning Databricks MLOps Monitoring LLMs Cloud-Based Platform Docker Collaboration With Stakeholders
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. To Apply: Interested applicants please send your resume in MS Words format to pooja.yadav@ambition.com.sg and attention to
Pooja (R1551322) Short listed candidates will be notified
EA Registration Number: R1551322 Data provided is for recruitment purposes only Business Registration Number: 200611680D. License Number: 10C5117 Tell employers what skills you have Azure AI Machine Learning Git AI Agents Kubernetes LangGraph Model Deployment SageMaker Azure Machine Learning Databricks MLOps Monitoring LLMs Cloud-Based Platform Docker Collaboration With Stakeholders