Wiremind 1714146283

Data Engineer (M/F) - Internship - Paris

Paris, France · Work style not stated · Full-time

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About the role

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EmployerWiremind 1714146283
LocationParis, France
Work styleWork style not stated
Employment typeFull-time
Employer posted2 days ago

Wiremind Cargo has had strong commercial momentum over the past 18 months. We've signed and are implementing our CargoStack and SkyPallet solutions with several of the world's largest airlines, and our customer base now includes major carriers across the Middle East, Europe, and Asia. With 25+ accounts overall live or going live, we need someone focused on making our key accounts successful.

Today, our customer relationships are managed by the same people who sell and implement our products. As our installed base grows, we need a dedicated function that owns customer health, protects revenue, and drives expansion. This is a foundational hire. You'll be shaping and strengthening the customer success function at Wiremind Cargo, creating the playbooks, and owning relationships with some of the biggest names in air cargo.

Your missions 🚀

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

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A modelling of the unconstrained demand using ML models (e.g. deep learning, boosted trees) trained on historical data in the form of time-series

Constrained optimizations problems solved using linear programming techniques

The team is now entering a scaling phase where we will face the challenge to stay agile in terms of innovation while supporting and closely monitoring deployed algorithms.

This rapid growth comes with a multiplication of data sources and deployed predictive models.

As a Data Engineer Intern, you will be joining a team shaped to have all profiles necessary to constitute an autonomous departement (devops, software and data engineering, data science, AIML, operational research).

There, you will:

support the ML engineers by improving our MLOps platform

Work closely with software engineers to implement the data science algorithms in the client applications in a safe, scalable and maintainable way

Exchange with the platform team to keep the infrastructure debt at a minimum

Help the team deploy our algorithms in production in a safe, scalable and maintainable way

Technical stack :

Backend: Python 3.11+ with SQLAlchemy, Remoulade, FastAPI

Data-store: Postgresql, Redis, Druid

Gitlab for continuous delivery

Kubernetes for infrastructure

Prometheus/Grafana and Kibana for operations

Your profile 🔍

You are currently pursuing a Master’s Degree in Engineering and you're looking for a end-of-study internship

You're passionate about addressing business challenges through innovative technological solutions

You are committed to maintaining high-quality standards in all aspects of your work

You have a solid understanding of computer science and are eager to advance quickly in an environment that adheres to best development practices

Our benefits 🤌

By joining us, you will integrate:

A self-financed startup with a strong tech identity! 🧬

Beautiful 800 m² offices in the heart of Paris (Bd Poissonnière) ✨

Attractive remuneration 💪

A caring and stimulating team that encourages skills development through initiative and autonomy

A learning environment with opportunities for evolution 🧑‍💻

You will also benefit from:

1 day of remote work per week

Access to WellPass at a preferential rate to maintain your well-being 🏀

A great company culture (monthly afterworks, regular meetings on technology and products, annual off-site seminars, team-building…)

Our Recruitment Process 🤞

A screening interview with Yasmine, our Talent Acquisition Specialist

A Manager Interview with Mathilde, our Head of Data, including a live technical assessment with her.

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

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