Posting record
Open 12+ days
- Wiremind 1714146283's site dates the posting
- Ghostless first sees this listing
- Last checked: still up
How we know
It hasn't been reposted, listed twice, or left up unusually long, and the posting doesn't say it's a talent pool.
Ghostless records the day it first sees a posting, so a repost can't reset its age. This one was already up when Ghostless started tracking Wiremind 1714146283, so its true age is longer.
Last checked Nov 4, 2026.
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Upload your resumeWhat it asks of you
- Must be a current student
What the posting discloses
Not stated: Pay, real vacancy, AI screening.
Why these three
Ontario requires postings from employers with 25 or more staff to state the pay, whether the vacancy exists, and whether AI screens applicants.
Some employers add pay only on their own site. Check the original posting before you rule it out.
Skills mentioned
About the role
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
- 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 historically self-financed startup with a strong tech identity, which has just raised its first round of funding to accelerate its growth! 🧬
- 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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