Senior ML Engineer

Build the platform that trains, ships, and runs models at national scale, owning MLOps, pipelines, and efficient inference on a sovereign GPU fleet.

RQMNA builds the sovereign AI platforms that turn a nation's data into models running in production.

We are hiring a Senior ML Engineer, on site in Muscat, to build and run the machine learning platform behind a national AI capability.

• Build and operate the MLOps platform: training pipelines, model registry, deployment, and serving
• Take models from the Data Scientist and research teams to reliable, scalable production
• Engineer model serving and inference, and optimize it for throughput, latency, and GPU efficiency
• Fine tune and train models at scale on a sovereign, on prem GPU fleet
• Build feature pipelines and a feature store, and automate the path from data to model to endpoint
• Monitor models in production: performance, drift, and automated retraining and rollback
• Bake reproducibility, versioning, and lineage into the model lifecycle
• Partner with the AI Engineer on serving GenAI and the Data Scientist on models, and set MLOps standards

• You have built ML systems and put models into production at scale, end to end
• You are strong in MLOps: pipelines, serving, monitoring, and the full model lifecycle
• You can train and fine tune models, and optimize inference on real GPU hardware
• You care about reproducibility, throughput, efficiency, and drift, not just accuracy
• You are fluent in Python and the modern ML and MLOps stack, and comfortable on Kubernetes
• You hold a Bachelor's or higher in Computer Science, Machine Learning, or a related field; an advanced degree is a plus
• You build platforms other engineers and scientists can rely on
• Bonus points for large scale training, GPU optimization, or sovereign and on prem ML
• Fluent English required;
  Arabic is a valuable advantage