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AI role · Open offer

AI Developer — marketplace & logistics ML (Remote Qatar)

Snoonu

Full-time
Senior
Data & AI
Remote
Remote · Doha, Qatar
QAR 25k–40k/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.

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At a glance

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

Employment: Full-time
Workplace: Remote
Location: Remote · Doha, Qatar
Compensation: QAR 25k–40k/month + bonus
Experience level: Senior
Team: Data & AI
Benefits & perks: Health cover, annual flight allowance, full remote within Qatar.
How to apply: Describe demand forecasting, ranking, or copilot work in a marketplace or logistics product.
Company site: www.snoonu.com
Listed: Jun 23, 2026
Updated: Aug 3, 2026

About this role

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

Snoonu is hiring a Senior AI Developer — marketplace & logistics ML (Remote Qatar) on the Data & AI team (Remote · Doha, Qatar). 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.

Snoonu is Qatar's leading super-app — on-demand delivery, groceries, pharmacy, and services — scaling across Doha and the Gulf with heavy mobile traffic and real-time logistics.

AI Developer (full remote within Qatar): improve ETA prediction, merchant ranking, support copilots, and fraud signals for a fast-growing MENA marketplace.

You work with product and operations in Doha while enjoying remote flexibility; models must perform in peak heat-season demand spikes and bilingual (Arabic/English) contexts.

About Snoonu

Founded in Doha; one of the largest tech employers in Qatar's delivery and commerce sector.
Data teams sit close to operations — models ship weekly with clear business KPIs.
Engineering hub at West Bay with remote-first option for Qatar-based talent.

What you will do

Build forecasting and ranking models for riders, merchants, and promo allocation.
Prototype Arabic/English LLM assistants for support and merchant onboarding.
Improve geospatial features for Doha traffic patterns and zone-level demand.
Document experiments and hand off stable APIs to backend squads.

Stack & environment

Python, PyTorch, SQL, LangChain, Docker on AWS/GCP.
Remote within Qatar; occasional on-site workshops in Doha.

What we look for

3+ years production ML or LLM; marketplace or logistics background valued.
English required; Arabic a plus for NLP and stakeholder work.
Eligible to work in Qatar (residency or transferable sponsorship).

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.).

AWSTool
Regular use of AWS in the LLM & generative AI stack—configuration, debugging, and team conventions.
DockerTool
Containerized services and reproducible dev environments for ML and LLM workloads.

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: Describe demand forecasting, ranking, or copilot work in a marketplace or logistics product.
Several of these show up in recent shipped work—not only on your CV: Python, LangChain, PyTorch, SQL, and AWS.
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: QAR 25k–40k/month + bonus, 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

Describe demand forecasting, ranking, or copilot work in a marketplace or logistics product.

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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