AI role · Open offer

ML Engineer — telecom analytics

Ooredoo Tunisia

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At a glance

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

Employment: Full-time
Workplace: Hybrid
Location: Route de Tunis, Sfax, Sfax 30000, Tunisia · Hybrid
Compensation: TND 3.8k–6k/month + intéressement
Experience level: Mid
Team: Data & AI
Benefits & perks

About this role

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

Ooredoo Tunisia is hiring a Mid ML Engineer — telecom analytics on the Data & AI team (Hybrid · Sfax, Tunisia). 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.

Ooredoo Tunisia serves millions of mobile subscribers — analytics hub in Sfax and Tunis.

ML Engineer: churn, network anomaly detection, and care NLP in Arabic/French.

Missions

Batch and streaming models on telecom event data.
Collaborate with care teams on copilot pilots.

Stack & environment

Python, PyTorch, Spark, SQL.

What we look for

Telecom or fraud ML; hybrid Sfax/Tunis.

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.).

DockerTool
Containerized services and reproducible dev environments for ML and LLM workloads.
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: Churn, network anomaly, or customer care NLP with Arabic/French data.
Several of these show up in recent shipped work—not only on your CV: Python, PyTorch, SQL, NLP, and Docker.
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 are comfortable with the hybrid rhythm (Hybrid · Sfax, Tunisia)—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

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What the employer asked for

Churn, network anomaly, or customer care NLP with Arabic/French 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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