AI Data Engineer / Data Scientist
About Arabian Oud
Arabian Oud marks the largest Middle Eastern fragrance house in the world since opening our doors in 1982 in the traditional former marketplace of Riyadh, Souk al-Zal, with an objective to source one of the rarest scents, Oud, which has served Middle Eastern perfumery for centuries. A renowned brand formulating unconventional fragrances, incense and oils of the finest quality.
Today, the Arabian Oud fragrance house – headquartered in Saudi Arabia – is a global brand with over 1200 stores in many parts of the world, and 400 distinctive products in its collection, spread over 37 countries. Our signature stores thrive in Paris, Dubai, Milano, Madrid, Nice, Berlin, Istanbul, New York, Kuala Lumpur, London Oxford Street, Westfield Stratford, and Westfield London.
Job Purpose: We are seeking a highly capable AI Applications Engineer to design, implement, and optimize AI-driven solutions that integrate seamlessly with existing systems and platforms. This role combines strong software engineering expertise with hands-on experience in artificial intelligence, enabling the delivery of scalable, secure, and high-impact business solutions.
Key Responsibilities
AI Solution Design & Implementation
- Design and develop AI-powered solutions aligned with business needs and system architecture.
- Build, test, and deploy AI models and workflows, ensuring scalability and reliability.
- Integrate AI solutions with internal platforms, APIs, and enterprise systems.
Data & Analytics
- Gather, analyze, and interpret data from multiple sources to generate actionable insights.
- Apply self-service analytics concepts and contribute to BI reporting solutions.
MLOps & System Optimization
- Implement and manage MLOps practices across the AI lifecycle, particularly within Azure environments.
- Apply CI/CD pipelines to automate deployment and improve system efficiency.
- Monitor, maintain, and troubleshoot AI systems to ensure optimal performance.
Collaboration & Stakeholder Engagement
- Collaborate with software engineers, data scientists, and business stakeholders to define requirements and deliver solutions.
- Communicate technical concepts clearly to both technical and non-technical audiences.
- Provide training and knowledge transfer to internal teams.
Innovation & Governance
- Research and evaluate emerging AI technologies, recommending enhancements where applicable.
- Ensure AI solutions adhere to best practices in security, ethics, transparency, and data protection.
- Document architectures, workflows, and technical processes for consistency and scalability.
Qualifications & Experience:
- Bachelor's degree in Computer Science, Information Systems, Statistics, or a related field.
- Minimum 3 years of experience in Data Science, MLOps, or AI Engineering roles.
- Strong proficiency in Python, SQL, and Apache Spark.
- Hands-on experience with containerization technologies (Docker, Kubernetes).
- Solid experience in MLOps within Azure cloud environments.
- Knowledge of DevOps, CI/CD pipelines, and Git-based workflows.
- Familiarity with Agile/Scrum methodologies and tools such as Jira.
