Machine Learning Engineer 3

About This Role

About noon

We’re building an ecosystem of digital products and services that power everyday life across the Middle East—fast, scalable, and deeply customer-centric. Our mission is to deliver to every door every day. We want to redefine what technology can do in this region, and we’re looking for a (add title) who can help us move even faster.

noon’s mission: Every door, every day.

What you'll do:

Team noon has some of the fastest, smartest, and hardest-working people we've encountered. With a young, aggressive, and talented team, we're driving major missions forward.

As a Machine Learning Engineer 3 (MLE3), Ads , you will be a core individual contributor responsible for the hands-on design, development, and deployment of production-grade Machine Learning models across our Ads division. You will be responsible for delivering high-impact models and deployments that power critical functions like ranking, bidding, and click-fraud detection.

This role is deeply technical; you will partner with Product and Engineering teams across noon Ads to turn complex data into competitive advantages

What you'll do:

• Deeply engage in the technical work: building, training, and deploying production-grade models across our domains
• Contribute to solving "hard" problems involving relevance, ranking, bidding optimization, and fraud detection
• Partner with the broader engineering team to implement optimal deployment strategies for heavy ML workloads
• Adhere to and contribute to the standardization of ML Ops and best practices within the team
• Mentor junior engineers and promote a culture of technical excellence and rigor

What you'll need:

• Experience: 3-5+ years of hands-on experience in Machine Learning; experience in e-commerce or ad-tech is highly preferred
• System Contribution: Experience contributing to the design and implementation of large-scale ML systems and infrastructure
• Production Focus: Experience working in high-scale, latency-sensitive environments
• Domain Expertise: A strong understanding of ranking, forecasting, and candidate diversity
• Tech Stack: Experience with cloud platforms (GCP / Vertex AI is a significant plus).

Who will excel?

• We’re looking for people with high standards, who understand that hard work matters.
• You need to be relentlessly resourceful and operate with a deep bias for action.
• We need people with the courage to be fiercely original.
• noon is not for everyone; readiness to adapt, pivot, and learn is essential.