Ambition Hiring! Full Time Senior Data Scientist in - Ricebowl

Our client, a leading global luxury retail brand, is seeking a Data Science & AI Engineer to develop and scale advanced analytics, machine learning, and Generative AI solutions that drive business growth, enhance client experiences, and improve operational effectiveness across the Asia Pacific region.

In this role, you will design and deploy predictive models, recommendation engines, forecasting solutions, and AI-powered applications across CRM, retail, merchandising, marketing, and business operations. You will work closely with business stakeholders, data engineering teams, and technology partners to build end-to-end data science products, from experimentation and model development to production deployment and performance monitoring.

The ideal candidate brings strong expertise in Python, machine learning, deep learning, cloud-based AI platforms, and modern GenAI technologies including LLMs, RAG frameworks, embeddings, vector databases, and agentic AI workflows. Experience with tools such as Databricks, Azure ML, AWS SageMaker, LangChain, LangGraph, Docker, Kubernetes, and Git-based development practices will be highly valued.

This opportunity is ideal for a hands-on AI practitioner who enjoys translating complex business challenges into scalable analytical solutions, experimenting with emerging AI capabilities, and driving measurable business impact while adhering to responsible AI and governance standards.

Key Requirements:

• Strong experience in Machine Learning, Data Science, and AI product development.
• Advanced Python programming skills and experience with PyTorch or TensorFlow.
• Hands-on experience building and deploying ML/AI solutions in cloud environments.
• Exposure to Generative AI, LLM applications, RAG architectures, semantic search, and agentic AI frameworks.
• Experience designing A/B testing, experimentation frameworks, and business impact measurement.
• Strong stakeholder management and ability to communicate technical insights to non-technical audiences.
• Passion for innovation, continuous learning, and responsible AI practices.

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