ML Engineer Intern HF - Paris

Since 2014 Wiremind has positioned itself as a technical company transforming the world of transport and events with a 360 approach combining UX software and AI.

Our expertise lies primarily in optimizing and marketing our clients capacity. We work on various projects such as ticket forecasting and pricing 3D optimization of air freight or scraping competitor prices. Our applications are the preferred tool of companies such as SNCF United Airlines Qatar Airways or even PSG to visualize analyze and optimize their capacity.

Dynamic and ambitious we strive to maintain our technical DNA which is the engine of our success. The company profitable and selffinanced since its creation 10 years ago is mainly composed of engineers and experts and currently supports the growth of our business model based on softwareasaservice solutions.

Your missions

At Wiremind the Data Science team is responsible for the development monitoring and evolution of all MLpowered forecasting and optimization algorithms in use in our Revenue Management systems. Our algorithms are divided in 2 parts:

• A modelling of the unconstrained demand using ML models (e.g. deep learning boosted trees) trained on historical data in the form of timeseries
• Constrained optimizations problems solved using linear programming techniques

The team is scaling and needs to stay agile while supporting and monitoring deployed algorithms. We use Argo and MLFlow to help data scientists focus on highvalue tasks with a common framework and modular components. As we grow we manage more data sources and predictive models. To maintain high prediction accuracy and data quality we seek an analyticallyminded Data Scientist Intern with a strong background in statistics.

You will be joining a team shaped to have all profiles necessary to constitute an autonomous department (devops software and data engineering data science AIML operational research).
There you will leverage stateoftheart AI/ML methods and ironclad validation processes to deliver robust interpretable prediction systems.
As a ML Engineer intern you will work on the following topics:

• Designing/training of new models (neural networks or decision trees) to improve our current models in production
• Tackling railway and cargo demand specific challenges: imbalanced data skewed data distributions features engineering
• Performing indepth model evaluation: to properly assess model performance and comparison with other models.
• Taking part in the improvement of our training pipeline framework (tests automation..)
• Survey state of the art models / practices in our domain specific applications.

Our technical stack

• Python 3.10
• Argo workflows over an autoscaled Kubernetes cluster for orchestration
• Druid and postgresql as datastore
• Common ML libraries/tool: TensorFlow/Keras LightGBM XGBooost Pandas Dask Dash Jupyter notebooks
• Mlflow as model versioning and registry tool
• Gitlab for continuous delivery/integration

What were looking for

• Current studies (at least Master II) related to the following fields: data science computer science applied mathematics.
• Good understanding of basic machine learning tasks (classification regression) and mathematical concepts behind it
• Good understanding of basic evaluation metrics : accuracy recall precision RMSE....
• Handson experience with python language and standard data tools: Pandas NumPy
• Strong curiosity and desire to learn
• Strong computer science background in Python
• A good experience in model development (Kaggle class or personal projects..)

What we offer for 6 months

By joining us you will integrate:

• A selffinanced startup with a strong technical DNA!
• Beautiful 700 m offices in the heart of Paris (Bd Poissonnire)
• Attractive remuneration
• A caring and stimulating team that encourages skills development through initiative and autonomy
• A learning environment with concrete opportunities for evolution

You will also benefit from:

• Training on demand
• A hybrid policy: a day of remote work per week and the possibility to work occasionally from abroad
• A great company culture (monthly afterworks regular meetings on technology and products annual offsite seminars teambuilding)

Our recruitment process

1. An initial discussion with Clara our Talent Acquisition Manager
2. A technical test to prepare for
3. A code reviewat our offices in the presence of the manager

Wiremind is committed to equality of opportunity diversity and fairness. We encourage all candidates with the necessary experience to apply for our job offers.