Full-stack Software Engineer

Résumé du poste
CDI
Paris
Salaire : Non spécifié
Télétravail fréquent
Compétences & expertises
Contenu généré
Compétences de diagnostic
Apprentissage machine
Compétences en communication
Méthodologies Agile
Teamwork
+10
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Raidium
Raidium

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Le poste

Descriptif du poste

Raidium develops a new generation of radiological copilot, based on Raidium’s custom-trained Foundation Model. This copilot is a webapp (react + FastAPI) that interacts with the ML Model (Pytorch on GPU).

As Full-stack Software engineer at Raidium, play a pivotal role in developing the Raidium product and integrating Machine Learning models.

Responsibilities

  • Design, implement, and maintain both front-end and back-end components of Raidium product, involving serving ML models and manipulating radiological images

  • Collaborate with ML Engineers to integrate advanced ML/Deep Learning models into the platform, ensuring the system is highly accurate and efficient.

  • Build the infrastructure and pipelines to support rapid growth in users and data volume without compromising performance.

  • Enforce the best practices to ensure code quality and system soundness: automatic testing, linting, typing,…


Profil recherché

  • Master’s degree in Computer Science, Engineering, or a related field.

  • Proficient in full-stack development, with experience in modern programming languages (e.g., Python, JavaScript), frameworks (e.g., FastAPI, React) and databases systems.

  • Willingness to work in the healthcare industry

  • Authorization to work in France

  • Fluency in English, with excellent communication and teamwork skills

  • Willing to come to the office (2 days remote policy)

Pluses

  • Experience in an agile work environment

  • Knowledge of machine learning concepts and experience integrating ML models

  • Experience with containerization and orchestration tools such as Docker and Kubernetes

  • Experience with cloud providers (GCP, AWS, Azure)

  • Knowledge of model serving technologies (ex: ray, CUDA)) and parallelization on GPU clusters

  • Experience with Radiological images (DICOM, nifti)

Why join us

  • Have a real and positive impact on people’s lives

  • Apply and improve the latest Deep Learning technologies to build an inspiring product

  • Be in contact with radiologists in our partner center

  • Work with a team of internationally recognized experts

  • Work with a diverse team of engineers and medical doctors

  • Competitive salary

  • Access to premium computing hardware

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