Data Engineer - Alternance Toulouse

Beschreibung:

(COMPANY NAME) is a leader in software and complete solutions for driverless goods and passenger transport, and the number one provider of autonomous shuttles in the world. It partners with blue-chip manufacturers to autonomize their vehicles with award-winning technology built on safety-by-design, ready for deployment today, with clear client benefits.
Since 2014, the company has become known for quality delivery and real-world deployments. (COMPANY NAME)'s proven technology has driven autonomously in 300+ locations in more than 30 countries, over 1, 000,000km.
With several mass operations around the world, (COMPANY NAME) was the first to deploy fully driverless at Level 4 of autonomous driving and had the highest number of remotely supervised operations (10+) on the market to date. It is also the first autonomous vehicle solutions provider to be ISO 9001:2015 certified.
(COMPANY NAME) has over 250 employees in 2 locations (Toulouse, Berlin).
We are looking for highly motivated people to build the road ahead and invent solutions to challenges never met before. Beyond excellent technical skills, we are looking for the right attitude: ambition, creativity and perseverance. Highlighting strong values such as innovation, passion, excellence, trust and team spirit, (COMPANY NAME)'s team keeps pushing boundaries to invent the future of mobility.
Benefits
* An ambitious and meaningful mission
* "Tickets restaurant" Swile, "mutuelle familiale", eco-mobility allowance
* Brand new offices, close to the city center and public transportation
* Free coffee/tea and fresh fruits, free breakfast every Friday
* Teambuilding and corporate events
* Many occasions to meet your colleagues: EZtalks to share your passions, sport, games…
* A proactive "CSE"
* Choice between MacBook or PC (depending on your position)
Be part of the autonomous future, today!

Descriptif du poste

Internship details
* Contract: Apprenticeship
* Location: Toulouse
* Team: MLOps
* Internship Tutor: Nathan Labbe
* Apprentice salary, "tickets restaurant" Swile, "CSE"
Mission
(COMPANY NAME) has new projects and the R&D team is growing! Therefore we are looking for our future colleague to help us increase our features. You will join a team of >80 R&D engineers at the cutting edge of autonomous navigation technology, and work in a modern & open source environment.
You will join our amazing MLOps team and work on machine learning infrastructure and pipelines to scale our current data workflow and make our autonomous vehicles safer and smarter than ever.
Your future responsibilities
In collaboration with our Machine Learning Ops and our Data teams, you will participate to put into production DL based autonomous feature (New localization modality). To do so, you will :
* Define and implement pipelines / workflows for:
* Training, validation, and optimization of machine learning based algorithms
* Data gathering, versioning, preparation
* Model Versioning, deployment, monitoring
* Develop, construct and optimize machine learning based infrastructure(s) (e.g. databases, clusterGPU training server(s))
* Shape (COMPANY NAME)'s data platform by ingesting, manipulating, and visualising data across data platforms

Profil recherché

There is no typical profile at (COMPANY NAME), we all come from different backgrounds and that is what makes us strong! Don't hesitate to apply if you are motivated and interested by innovative transportation and technologies.
We are looking for apprentice for 12 months or 24 months
Essentials
* Master / Engineering School with Data engineering, machine learning background or similar
* Experience as a Data Engineer, Machine Learning Engineer, or similar.
* Experience with Python development
* Experience working with container technology including Docker
* Experience working with cloud-based infrastructure (AWS)
* Good oral and written English
Nice to have
* Experience with KubeFlow/Argo or similar (ML pipeline orchestration)
* Experience with MLFlow or tracking tool/model registry
* Knowledge in Kubernetes
* Familiar with deep learning algorithms (CNN, etc.)
* Passion for learning new technologies.

Process de recrutement

* 30 minutes call with a recruitment officer
* Meeting with the tutor, technical tests
* One hour interview with the manager and a recruitment officer

Informations complémentaires

* Type de contrat : Alternance (12 à 12 mois)
* Lieu : Toulouse
* Télétravail ponctuel autorisé