Machine Learning Engineer

⚙️ Technical Skills: Python, SQL, Airflow, Docker, Kubernetes, Linux (bash), Git, GitHub Actions (CI/CD), ArgoCD

📧 armand.masseau@gmail.com 🔗 LinkedIn

Projects

📌 Job Finder — Smart Job Recommendation System

Ever spent hours scrolling through job boards, jumping from site to site, only to find the same irrelevant listings—or worse, miss the good ones entirely?
Job Finder centralizes job offers from multiple sources and provides powerful features to make your job search smarter and more efficient:

Centralized Job Discovery: Aggregates job offers from various platforms into a single, unified interface. No more jumping from site to site—everything is in one place, sorted by relevance and ready for feedback.
CV Matching: Instantly match your CV to the most relevant job offers. Just drag and drop your CV into the app, and get personalized recommendations based on semantic similarity.

Stack: Python, Docker, Kubernetes, Azure, GitHub Actions (CI/CD), Terraform.

Work Experience

Machine Learning Engineer — Société Générale

📍 Paris, Île-de-France — nov. 2025 – present
Joined the Investment Banking DataLab (20 data scientists & engineers).

Responsible for deploying machine learning models developed by Data Scientists, designing and maintaining ML infrastructure (on-prem & Azure)
Designed, deployed, and maintained ML infrastructure (training, inference, orchestration) with a strong focus on reliability, observability, and cost optimization.
Implemented and standardized CI/CD pipelines for ML workflows, improving deployment consistency and reducing time-to-production by ~50%.
Supported Data Science teams on best practices in MLOps, infrastructure-as-code, and operational monitoring.

Stack: Python, GitHub Actions (CI/CD), ArgoCD, Airflow, Docker, Kubernetes, Azure, Terraform, Elastic Stack, OpenTelemetry

Machine Learning Engineer — Société Générale

📍 Paris, La Défense — 6 months (2025)
Joined the Non-Financial Risk Datalab (7 data scientists).

Developed and deployed an LLM-based application that generates reports for the Risk Committee to track key risk indicators, resulting in a collective time saving of six workdays per month for committee members.
Contributed to Société Générale’s internal data science library by adding reusable components and improving documentation.

Stack: Python (Pandas, Langchain, FastAPI, Kedro, pytest), Airflow, Docker, Kubernetes, AWS S3, Trino, GitHub Actions, SonarQube, Jira, PostgreSQL

Data Engineer — Banque de Luxembourg Investments

📍 Luxembourg, Luxembourg — 5 months (2024)
Integration of a team of investment fund managers and analysts (10 people). I automated time-consuming processes for my tutor.

Built a Python app to generate PDF reports with dynamic financial charts — saving days of manual work monthly for my tutor and the CEO.
Automated file management and archiving for fund monitoring.
Reduced monthly data provider costs by several hundred euros through smarter data queries.
On my initiative, designed a cross-tab reporting tool for fund-of-funds analysis, now used by the team.
Worked with Bloomberg and MSCI APIs to automatically fetch and enrich internal financial datasets.

Stack: Python (Pandas, os, Matplotlib, Tkinter, shutil, ReportLab), Microsoft Office

📝 Technical Writing & Open Source

I regularly publish in-depth technical articles and tutorials on topics such as Machine Learning engineering, MLOps, Airflow, Kedro, and production-grade data pipelines.

🔗 Medium: Armand Masseau on Medium

🧩 Open Source Contributions

Active contributor to major open-source projects in the data & ML ecosystem:

Cookiecutter – Feature & improvements
https://github.com/cookiecutter/cookiecutter/pull/2163
Apache Airflow – Core contribution
https://github.com/apache/airflow/pull/54259
Kedro – Multiple contributions
https://github.com/kedro-org/kedro-plugins/pull/1216
https://github.com/kedro-org/kedro-plugins/pull/1207

Education

🎓 M.Sc. in Data Science (Quantitative Finance Track)
Université Paris-Saclay, France, 2024–2025

🎓 Engineering Degree — Microelectronics and Computer Science
Mines Saint-Étienne, France, 2022–2025

🎓 Preparatory Classes for Engineering Schools (PSI*)
Toulouse, 2020–2022

💬 Recommendations

“I had the pleasure of supervising Armand during his internship, during which he demonstrated strong technical skills, exceeding our expectations.
He took full ownership of all the tasks assigned to him, working with great autonomy, rigor, and a strong sense of responsibility.
Armand also integrated perfectly into a team with diverse profiles, making a positive and constructive contribution.
I highly recommend his profile, as his professionalism and commitment would be a valuable asset to any organization.”
— Paul Lemonnier, Senior Data Scientist @ Société Générale

Last updated: Sept 2025