AI role · Open offer

ML Engineer — Orange Tunisie recrutement

Orange Tunisie

Full-time
Senior
Data & AI
Hybrid
Centre Urbain Nord, Tunis, Tunisia · Hybrid
TND 5k–8k/mo

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: Centre Urbain Nord, Tunis, Tunisia · Hybrid
Compensation: TND 5k–8k/mo
Experience level: Senior
Team: Data & AI
Benefits & perks

About this role

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

Orange Tunisie is hiring a Senior ML Engineer — Orange Tunisie recrutement on the Data & AI team (Hybrid · Tunis, Tunisia). This is a hands-on role in NLP & language AI—not a generic “AI enthusiast” post.

You will own language understanding, generation, and quality metrics 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.

Orange Tunisie — Orange Tunisie recrutement et recrutement Orange pour l'IA client et réseau.

ML Engineer (hybrid Tunis, Centre Urbain Nord): churn, NLP AR/FR, et GenAI care.

Missions

Industrialiser modèles churn et propension.
Livrer assistants multilingues avec garde-fous.

Stack & environment

Python, Azure, Docker, SQL.

What we look for

ML télécom; éligible Tunisie.

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.
SQL
Analytical SQL for features, cohorts, label quality, and experiment analysis at scale.
NLP

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.
AzureTool
Regular use of Azure in the NLP & language AI stack—configuration, debugging, and team conventions.

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, Arabic/French NLP, or customer-care GenAI for telecom.
Several of these show up in recent shipped work—not only on your CV: Python, SQL, NLP, Machine Learning, and Docker.
You have owned language understanding, generation, and quality metrics in production: debugging live issues, running postmortems, and iterating from real user or business signals.
You are comfortable with the hybrid rhythm (Hybrid · Tunis, 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.
You read the full listing (comp: TND 5k–8k/mo, benefits in At a glance) and your expectations align.

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

Churn, Arabic/French NLP, or customer-care GenAI for telecom.

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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