AI engineer

Job Title: AI Engineer

Location: Chéraga, Algiers, Algeria

Employment Type: Full-time

Experience Level: 0-2 years

About Secret Emporia:

Secret Emporia is building a core, cross-functional technology team focused on solving complex challenges through software and intelligent systems. We champion technical excellence, architectural clarity, and a culture of collaborative innovation.

Role Overview:

We are seeking a motivated AI Engineer with a strong foundational knowledge of machine learning and a passion for building production-ready AI systems. You will be instrumental in the end-to-end lifecycle of our AI features from data preparation and model training to deployment and integration.

Key Responsibilities:

● Design, implement, and train machine learning and deep learning models.

● Build, clean, and manage datasets for training and evaluation.

● Develop and integrate components for AI systems, including RAG pipelines, LLM applications, and computer vision modules.

● Collaborate with software engineers to package, deploy, and optimize models in a production environment.

● Create scripts, tools, and documentation to support the AI development lifecycle.

● Analyze model performance and contribute to continuous improvement.

Required Qualifications :

● Strong understanding of machine learning and deep learning fundamentals.

● Proficiency in Python and core ML libraries (e.g., PyTorch, TensorFlow, Scikit-learn).

● Experience with data manipulation and analysis (Pandas, SQL).

● Demonstrated ability to learn quickly, write clean code, and follow engineering best practices.

● A portfolio of personal projects, a public GitHub profile, Kaggle experience, or a relevant thesis.

Preferred Qualifications :

● Familiarity with Large Language Models (LLMs), vector databases, or RAG system architecture.

● Exposure to MLOps concepts, Docker, Git, and cloud platforms (AWS, GCP, Azure).

● Interest in applying software engineering rigor to machine learning projects.

What We Offer :

● A foundational role on a high-impact team.

● Significant autonomy and ownership over critical projects.

● A direct influence on our technology stack and engineering culture.

● A professional environment dedicated to quality work and continuous growth.