AI/ML Engineer

Maseera; Muscat; On-site; OMR 32,000 - 52,000; Full time

Job summary

AMOUAGE, a luxury brand in Muscat, Oman, seeks an AI/ML Engineer to join the Digital Transformation team. You will develop practical AI solutions that boost efficiency and enable smarter decision-making across the House.

You will manage the AI lifecycle from data preparation to deployment, monitoring, and continuous improvement, building generative AI and CV solutions, and integrating AI services with enterprise systems.

Qualifications

• Experience in building AI/ML solutions for production
• Strong understanding of ML lifecycle and governance
• Ability to translate business needs into AI use cases

Responsibilities

• Turn business needs into secure AI solutions and define success metrics.
• Manage AI lifecycle from data prep to deployment and monitoring.
• Develop and deploy ML models, including generative AI with LLMs, RAG, and vector search.
• Create computer vision solutions for image classification and object detection.
• Prepare data, engineer features, and evaluate models against baselines.
• Integrate AI services with enterprise apps via secure APIs.
• Implement MLOps for versioning, deployment, monitoring, drift detection, retraining.
• Apply AI security and governance controls and document solutions.

Skills

AI/ML engineering

MLOps

Data preprocessing

Model deployment

Security & governance

Tools

LLMs

Vector search

APIs

Job description

Are you ready to shape the future of luxury through AI and innovation? We are looking for an AI/ML Engineer to join our Digital Transformation team in Muscat, Oman. In this role, you will develop and implement practical AI solutions that enhance operational efficiency, empower smarter decision-making, and elevate digital experiences across the House of AMOUAGE.

Your Mission

Working closely with Digital Transformation sub-teams and business teams, you will turn business needs into secure, reliable AI solutions. You will manage the AI lifecycle, from data preparation and experimentation to deployment, monitoring, and continuous improvement.

Your Impact

• Translate business needs into AI use cases with clear success measures and delivery priorities.
• Develop, test, and deploy machine learning models, taking solutions from prototype to production.
• Build generative AI solutions using large language models (LLMs), retrieval-augmented generation (RAG), and vector search.
• Develop computer vision solutions for image classification, object detection, and verification.
• Prepare and validate data, engineer features, and evaluate models against appropriate baselines.
• Integrate AI services with enterprise applications, databases, and cloud platforms through secure APIs.
• Implement MLOps for versioning, deployment, performance monitoring, drift detection, and retraining.
• Apply AI security, privacy, and governance controls, and document solutions for support and adoption.