Data project Manager - M/F

Dataleon is a B2B platform for artificial intelligence and computer vision in force
growth. It aims to facilitate the extraction of data, from documents or images, on which businesses can rely in their decision-making.

Dataleon's expertise and technologies are used to meet 3 objectives:

• Improve the use of data to serve the productivity and performance of businesses.
• Generate accurate and flexible deep learning models (algorithms) that aim to mitigate potential human errors.
• Make products available that can be rapidly deployed by everyone thanks to a No-code system.

We are looking for a Data Project Manager to manage, lead and coordinate our AI projects through our deep learning no-code platform until delivery to our customers.

We work in an Agile method with iterative deliveries and a sprint every two weeks. A Daily Meeting is also organized every morning.

Our technical stack: we are working on Python for the deployment of AI models and Pytorch for the research and creation of models. AWS for the infrastructure and for the web part, we are working on NodeJS and ReactJS on the Front-end part. As well as Github CI/CD actions for automated deployment.

As a Data Project Manager your main objectives are:

• Manage customer relationships: management of IT functional specifications, drafting of specifications, deployment, etc.
• Ensure project delivery and customer satisfaction while respecting the schedule and budget
• Identify levers for improving customer functionalities and the emergence of new needs.
• Coordinate the project with Data Scientists and developers

We are therefore looking for a candidate with the following qualities:

• Graduated from an engineering school and you have at least 2 years of experience in a similar position
• You have already worked in the field of Machine Learning, Computer Vision and you have a strong appetite for data and programming languages.
• You have great interpersonal skills and ability to solve problems
• You speak English fluently (written and oral).

Interview process

• Introductory call
• ITW with Gérard (CEO)
• Technical test

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