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Data Science and AI Engineer
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.
