About the job
About Us
At MARGO, our consultants focus on what truly matters: tackling complex projects that combine intellectual challenges with real business impact.
This is why we support leading players in finance, industry, and technology on their most strategic projects in Data Science, Machine Learning, and Artificial Intelligence.
Why Join the AI Practice?
You will be part of a team led by Hamza Bouanani, the AI Practice Manager at MARGO, and Lead Data Scientist at BNP Paribas.
Working alongside him means joining a team of passionate experts, being technically and methodologically challenged, and contributing to high-impact projects for clients.
Your Responsibilities
We are seeking a Machine Learning Engineer to join our teams and engage at the heart of our clients' Data strategies (Industry, Finance, Energy). Your primary objective will be to industrialize Machine Learning algorithms and ensure their production lifecycle.
You will operate on three major technical axes:
1. Industrialization & Deployment (Model Serving)
- Transforming research models (Proof of Concept) into robust, tested, and optimized production code.
- Developing high-performance APIs (FastAPI, Flask) to expose models to business applications.
- Containerizing solutions (Docker) and orchestrating on clusters (Kubernetes) to ensure scalability and high availability.
2. MLOps Architecture & Automation
- Designing and maintaining CI/CD pipelines dedicated to Machine Learning (automated retraining, model validation).
- Implementing and managing data flow orchestration tools (Airflow, Kubeflow, Dagster).
- Managing versioning of data and models (DVC, MLflow) to ensure reproducibility of experiments.
