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Machine Learning Engineer 3

noon
, UAE
Mid-Senior
2 weeks ago
PythonTensorFlowPyTorchScikit-learnDeep LearningNatural Language Processing (NLP)
Free

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Overview

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 ML Engineer 3 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.

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