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AI role · Open offer

Senior ML Engineer — mobility & delivery (Remote UAE)

Careem

Full-time
Senior
Marketplace ML
Remote
Remote · Dubai, United Arab Emirates
AED 35k–55k/month + equity

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.

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At a glance

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

Employment: Full-time
Workplace: Remote
Location: Remote · Dubai, United Arab Emirates
Compensation: AED 35k–55k/month + equity
Experience level: Senior
Team: Marketplace ML
Benefits & perks: Uber-backed equity, health insurance, remote-first UAE engineering.
How to apply: ETA, pricing, or discovery ML with A/B results; MENA marketplace experience a plus.
Company site: www.careem.com
Listed: Jul 4, 2026
Updated: Aug 3, 2026

About this role

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

Careem is hiring a Senior Senior ML Engineer — mobility & delivery (Remote UAE) on the Marketplace ML team (Remote · Dubai, United Arab Emirates). This is a hands-on role in LLM & generative AI—not a generic “AI enthusiast” post.

You will own LLM features, retrieval, agents, and evaluation 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.

Careem is the Uber-backed super-app for the Middle East — rides, food, groceries, and payments — engineering hub in Dubai with remote-first teams across the UAE.

Senior ML Engineer (remote UAE): power dynamic pricing, ETA, driver dispatch, and personalized discovery for millions of trips and orders daily.

Careem operates across multiple countries; you will design models that generalize across cities while respecting local regulations and peak patterns (Ramadan, events, weather).

About Careem

Headquartered in Dubai Internet City; part of Uber's global mobility portfolio.
Engineering culture blends startup speed with marketplace rigor and experimentation.
Remote-first for UAE-based engineers with optional Dubai campus days.

What you will do

Own end-to-end ML features: training, shadow deploys, A/B tests, and monitoring.
Improve geospatial and time-series models for ETAs under congestion and weather.
Build GenAI tools for support and captain (driver) assistance with safety guardrails.
Partner with data platform on feature stores and low-latency inference paths.

Stack & environment

Python, PyTorch, Spark, SQL, LangChain for internal copilots.
Remote within UAE; collaboration with Dubai, Riyadh, and Karachi hubs.

What we look for

Marketplace, mobility, or ads ML at scale; MENA experience welcome.
Strong experimentation mindset and clear communication in English.
Eligible to work in the United Arab Emirates.

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.
LangChain
Orchestrating LLM chains, tools, and retrieval with observable steps and failure handling.
PyTorch
Training and inference with PyTorch: reproducible experiments, checkpointing, and deployment-minded exports.
SQL
Analytical SQL for features, cohorts, label quality, and experiment analysis at scale.

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: ETA, pricing, or discovery ML with A/B results; MENA marketplace experience a plus.
Several of these show up in recent shipped work—not only on your CV: Python, LangChain, PyTorch, SQL, and Kubernetes.
You have owned LLM features, retrieval, agents, and evaluation in production: debugging live issues, running postmortems, and iterating from real user or business signals.
You communicate clearly in writing, document decisions, and can overlap with the team’s core hours for pairing and incident response.
You explain trade-offs (quality, cost, latency, safety) in plain language—with numbers or examples, not buzzwords.
You read the full listing (comp: AED 35k–55k/month + equity, benefits in At a glance) and your expectations align.

Apply

Candidate accounts only: add your headline and bio on My account, 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

ETA, pricing, or discovery ML with A/B results; MENA marketplace experience a plus.

Sign in with a candidate account to apply

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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