Machine Learning Engineer III

**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 III (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.