Data Scientist

Role overview

What you'll be doing

• Design and build complex agentic RAG systems, multi-step AI workflows, and LLM-powered applications.
• Lead AI solutions from experimentation and architecture through production deployment, monitoring, and continuous improvement.
• Write and review production-quality Python and modern AI/ML code.
• Own solution architecture, technical standards, and engineering best practices across AI initiatives.
• Provide technical leadership and mentorship while remaining an active hands-on contributor.
• Evaluate and apply emerging models, frameworks, vector databases, orchestration tools, and AI engineering approaches.
• Work with business stakeholders to deliver measurable commercial and operational value.
• Build data and model pipelines, testing, evaluation, observability, and MLOps practices.

What we're looking for

• At least 8 years of relevant experience in Data Science, Machine Learning, AI Engineering, or closely related areas.
• Strong recent experience building complex agentic RAG systems beyond standard question-answering chatbots.
• Deep practical knowledge of LLMs, retrieval, embeddings, vector databases, agent orchestration, and production AI architectures.
• Strong hands-on Python and software engineering practices, including APIs, testing, version control, CI/CD, and maintainable production code.
• Demonstrated technical leadership, team leadership, or ownership of a significant technical domain.
• Track record of translating AI capabilities into measurable business outcomes.
• Experience operating in demanding, technically sophisticated environments; broader experience across organizations, products, or domains is highly valued.

Nice to have

• Experience productising AI and ML solutions within the Microsoft Azure ecosystem.
• Cloud-native architecture and deployment experience.
• Strong MLOps and data engineering exposure.
• Experience taking Generative AI products from prototype through reliable production use.

Location

• The description states Dubai, UAE; it does not specify an attendance or remote-work policy.