AI role · Open offer

ML Engineer — logistics intelligence

Freterium

Full-time
Senior
Supply chain AI
Hybrid
Boulevard d'Anfa, Casablanca, Casablanca-Settat 20100, Morocco · Hybrid
Casablanca, Morocco
MAD 30k–45k/month + BSPCE

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: Boulevard d'Anfa, Casablanca, Casablanca-Settat 20100, Morocco · Hybrid
Compensation: MAD 30k–45k/month + BSPCE
Experience level: Senior
Team: Supply chain AI
Benefits & perks

About this role

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

Freterium is hiring a Senior ML Engineer — logistics intelligence on the Supply chain AI team (Hybrid · Casablanca, Morocco). This is a hands-on role in applied machine learning—not a generic “AI enthusiast” post.

You will own modeling, evaluation, and production ML delivery 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.

Freterium digitizes freight and logistics for African and European shippers from Casablanca.

ML Engineer: ETA prediction, route optimization, and document intelligence on customs paperwork.

Missions

Ship models tied to on-time delivery and cost KPIs.
Improve OCR on bills of lading and invoices (FR/AR).

Stack & environment

Python, PyTorch, SQL, PostgreSQL.

What we look for

Logistics or marketplace ML; French fluency.

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.
PostgreSQLTool
Regular use of PostgreSQL in the applied machine learning 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: Route optimization, ETA prediction, or document OCR on bills of lading.
Several of these show up in recent shipped work—not only on your CV: Python, PyTorch, SQL, Machine Learning, and Docker.
You have owned modeling, evaluation, and production ML delivery in production: debugging live issues, running postmortems, and iterating from real user or business signals.
You are comfortable with the hybrid rhythm (Hybrid · Casablanca, Morocco)—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

Route optimization, ETA prediction, or document OCR on bills of lading.

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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