Senior ML Platform Engineer — National-Scale MLOps

NTG; Muscat; On-site; OMR 30,000 - 50,000; Full time

Job summary

NTG is hiring a Senior ML Engineer to develop the machine learning platform that supports national AI capabilities in Muscat. This role involves building and operating MLOps pipelines, ensuring models run efficiently at scale on a sovereign GPU fleet.

The ideal candidate has extensive experience in ML systems, is proficient in Python, and has a solid understanding of the MLOps lifecycle. A Bachelor's degree in Computer Science or a related field is required, and familiarity with Kubernetes is a plus.

Qualifications

• Experience in building and operating ML systems at scale.
• Strong foundation in MLOps including pipelines and model lifecycle.
• Proficient in Python and using modern ML stacks.

Responsibilities

• Build and operate the MLOps platform for model deployment.
• Take models from Data Scientists to scalable production.
• Monitor models in production and automate retraining.

Skills

MLOps

Machine Learning systems

Python

Kubernetes

GPU optimization

Education

Bachelor's degree in Computer Science or related field

Job description

NTG is hiring a Senior ML Engineer to develop the machine learning platform that supports national AI capabilities in Muscat. This role involves building and operating MLOps pipelines, ensuring models run efficiently at scale on a sovereign GPU fleet.

The ideal candidate has extensive experience in ML systems, is proficient in Python, and has a solid understanding of the MLOps lifecycle. A Bachelor's degree in Computer Science or a related field is required, and familiarity with Kubernetes is a plus.