AI role · Open offer

Senior ML Engineer — marketplace intelligence

noon

Full-time
Senior
Search & fraud
Hybrid
Dubai Internet City, Dubai, DU 00000, United Arab Emirates · Hybrid
Dubai, United Arab Emirates
AED 35k–55k/month + bonus

This listing is optimized for AI-native talent: clear skills and tools so candidates know if they fit before they apply—and so you spend less time screening mismatches.

4 skills2 tools

At a glance

How you'll work, where, and key listing dates.

Employment: Full-time
Workplace: Hybrid
Location: Dubai Internet City, Dubai, DU 00000, United Arab Emirates · Hybrid
Compensation: AED 35k–55k/month + bonus
Experience level: Senior
Team: Search & fraud
Benefits & perks

About this role

What the team is looking for and how this position fits.

noon is hiring a Senior Senior ML Engineer — marketplace intelligence on the Search & fraud team (Hybrid · Dubai, United Arab Emirates). This is a hands-on role in risk & decision ML—not a generic “AI enthusiast” post.

You will own real-time scoring, monitoring, and governance end to end: problem framing, offline evaluation, safe rollout, and iteration from production signals. Success is measured with clear metrics (quality, latency, cost, or business KPIs)—not slide decks alone.

noon is a major e-commerce marketplace in the UAE and MENA, engineering hub in Dubai Internet City.

Senior ML Engineer: search, fraud, and seller intelligence on Arabic/English catalogs.

Missions

Ranking and fraud models at MENA marketplace scale.
Copilots for seller onboarding and catalog quality.

Stack & environment

Python, PyTorch, Spark, Kubernetes.

What we look for

E-commerce ML; hybrid Dubai.

Skills we're hiring for

What each capability means for this role—not a keyword checklist.

Python
Production Python for data pipelines, model code, APIs, and automated tests—not notebook-only workflows.
PyTorch
Training and inference with PyTorch: reproducible experiments, checkpointing, and deployment-minded exports.
SQL

Tools & stack

Platforms and products mentioned for this role (APIs, IDEs, vector DBs, CRMs, design tools, etc.).

KubernetesTool
Deploying and scaling model services with health checks, autoscaling, and rollout discipline.
SparkTool
Distributed feature generation and batch scoring on large tabular or event datasets.

You're a strong fit if…

Tailored to this listing—use it as a self-check before you apply.

You can show evidence in your application: Search, fraud, or seller copilot with Arabic/English catalog data.
Several of these show up in recent shipped work—not only on your CV: Python, PyTorch, SQL, Machine Learning, and Kubernetes.
You have owned real-time scoring, monitoring, and governance in production: debugging live issues, running postmortems, and iterating from real user or business signals.
You are comfortable with the hybrid rhythm (Hybrid · Dubai, United Arab Emirates)—onsite collaboration when it matters, deep work when remote.
You explain trade-offs (quality, cost, latency, safety) in plain language—with numbers or examples, not buzzwords.

Apply

Candidate accounts only: add your headline and bio on , and optionally a CV link or PDF so recruiters see your full résumé. Then write a short pitch below—applications use your login email.

What the employer asked for

Search, fraud, or seller copilot with Arabic/English catalog data.

Register, add a headline and bio, then you can attach a CV link or PDF on My account before you apply. That keeps applications tied to your profile and makes it easier for employers to review your background.

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