Artificial Intelligence Engineer Intern
Mirage Metrics
CasablancaIl y a 6 jours
Stage
Stage Pré-embauche
Sur site
Artificial Intelligence Engineer Intern
Mirage MetricsDescription du poste
Rejoignez Mirage Metrics à Casablanca pour un stage de 6 mois en tant qu'AI Engineering Intern. Vous travaillerez sur des systèmes d'IA de pointe pour le secteur de la construction, incluant la vision par ordinateur et les LLM, afin de résoudre des problèmes réels complexes. Nous recherchons des profils passionnés, maîtrisant Python et les technologies d'apprentissage automatique. Une opportunité d'intégrer une équipe intensive avec des perspectives d'embauche. Postulez dès maintenant via notre plateforme.
AI Engineering Intern, Construction Intelligence
Mirage Metrics | Casablanca, Morocco
- Start: Early January 2027
- Duration: 6 months
- Type: Full-time internship, on-site
- Deployment: International travel possible
WE BUILD SOFTWARE THAT HAS TO WORK IN THE REAL WORLD.
Construction projects worth hundreds of millions depend on engineering drawings, technical specifications, quantities, and fragmented information. We are building AI systems that understand, reason, and execute engineering workflows at scale.
THE WORK
You will contribute to building and deploying production-grade AI systems, including:
- Reading and interpreting complex construction drawings and PDFs.
- Detecting and quantifying structural and architectural elements.
- Combining computer vision, multimodal models, LLMs, and deterministic engineering logic.
- Identifying drawing revisions and discrepancies.
- Working across the full stack, from data pipelines to production deployment.
THE ENGINEERING BAR
We expect:
- Strong Python skills and software engineering fundamentals.
- Hands-on experience with ML, computer vision, or multimodal AI.
- Ability to write clean, tested, and maintainable code.
- Strong analytical thinking and attention to detail.
- Professional proficiency in English, French, and Arabic.
APPLICATION PROCESS
Your application must include:
- Your CV and university/engineering school background.
- Evidence of technical projects (GitHub repository, write-ups).
- Concise answers to technical problem-solving questions.