Description

I have 10 years of professional experience, mainly in Data Science (Machine/Deep Learning) and more recently in Software/Data Engineering.

I like Machine/Deep Learning, algorithms, and efficient, readable and well structured code.

I have experience building predictive models but also deploying them in production, with proper CI/CD.

I am looking for a Senior Machine Learning Engineer mission.

The main technos I have used:

- Python

- SQL

- Pandas

- ScikitLearn

- xgboost / lightGBM / catboost

- PyTorch

- Tensorflow

- OpenCV

- Streamlit

- Plotly

- PySpark

- Databricks

- Airflow

- MLflow

- AWS

- Docker

- FastAPI

- GitHub Actions

- Terraform

Industry field of expertise

Languages

Workplace preferences

Can work on-site

Paris (up to 15km)

Mirakl
Data Engineer
November 2023 - January 2025 (1 year and 2 months)
Paris, France
Python development around ML based ads recommendation. Implemented a backend with FastAPI responsible for model deployment with Databricks Model Serving, and allowing multiple models to be served atthe same time. Also developed the A/B testing dashboard with Streamlit to compare the CTR of multiple models, number of displays and other metrics.
ALLIANZ TRADE
Software Engineer (Python, AWS)
August 2022 - November 2023 (1 year and 3 months)
Paris, France
Doing software development in a Scrum team of 4 davs. We develop and maintain Python backends to create and stream business objects by watching for changes in PostgreSQL databases. All our code runs on AWS (Lambda, ECS, Step functions, SQS, Glue PySpark,DynamoDB, PostgreSQL, Kinesis, DMS). We use Gitlab for CI/CD.
Pernod Ricard
Data Scientist - ML
November 2021 - July 2022 (8 months)
Paris, France
Worked on optimization of promotional calendars (Python codebase in production). Future volumes sold for thousands of candidate promotional events are predicted with Gradient Boosted Trees (XGBoost), and then Mixed Integer optimization (PyOMO/Gurobi) is used to find the optimal subset of events which maximizes ROI given business constraints.
Groupe Crédit Agricole