Develop an MLOps stack H/F

Saclay

Internship Entry-level / Junior

CEA

Le CEA est un acteur majeur de la recherche, au service de l'État, de l'économie et des citoyens. Il apporte des solutions concrètes à leurs besoins dans quatre domaines principaux : transition énergétique, transition numérique, technologies...

View all jobs at CEA

Apply now Apply later

Posted 1 week ago

General information

Organisation

The French Alternative Energies and Atomic Energy Commission (CEA) is a key player in research, development and innovation in four main areas :
• defence and security,
• nuclear energy (fission and fusion),
• technological research for industry,
• fundamental research in the physical sciences and life sciences.

Drawing on its widely acknowledged expertise, and thanks to its 16000 technicians, engineers, researchers and staff, the CEA actively participates in collaborative projects with a large number of academic and industrial partners.

The CEA is established in ten centers spread throughout France

Reference

2024-33195

Position description

Contract

Internship

Job title

Develop an MLOps stack H/F

Subject

In order to develop scene and text comprehension tools, the SIALV laboratory is developing a number of algorithms for
different tasks. These different building blocks have historically been developed in different projects, which has led to
compartmentalization between projects and difficulty in sharing knowledge. We would like to develop tools to develop a stack from
the data curing to the deployment of machine learning models that are reliable and efficient.

Contract duration (months)

Job description

In order to develop scene and text comprehension tools, the SIALV laboratory is developing a number of algorithms for different tasks. These different building blocks have historically been developed in different projects, which has led to compartmentalization between projects and difficulty in sharing knowledge. We would like to develop tools to develop a stack from the data curing to the deployment of machine learning models that are reliable and efficient.

During this internship, development can occur in various place of the MLOps stack to:
• Train neural networks efficiently on multiple GPUs and multiple computational nodes for different vision and text tasks such as Generative AI (text and image), object detections, Named Entity Recognition (NER)...
• Deploy models internally to make predictions and evaluate models.
• Monitor our models.
• Store our large quantity of data.
• Maintain a model registry to track our experiments and easily deploy our best performing models.
• Visualize and annotate datasets containing multiple modalities (text, image, video, etc.) assisted by AI.
• Solutions to orchestrate, maintain and scale the technical infrastructure in our laboratory

You will also perform technological watch of MLOps tools to find the best languages, libraries or frameworks to perform the missions mentioned above.

Find more details at: https://kalisteo.cea.fr/index.php/apply-for-a-job/