Senior Engineer - AI and image processing

CDI
Caen
Salaire : Non spécifié
Télétravail fréquent
Expérience : > 5 ans
Éducation : Bac +5 / Master

Sinay
Sinay

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Le poste

Descriptif du poste

We are looking to onboard a Senior AI Engineer within our Tech & Data team. In close collaboration with our current team of AI Engineers, Data Scientists and Developers, you will :

  • Design and implement Machine Learning and Deep Learning models for data analysis and prediction of key indicators;

  • Create image processing / computer vision solutions using both traditional, conventional and AI-based approaches;

  • Contribute to the implementation of methods and tools for the management and visualization of massive data;

  • Help develop strategies for deploying and scaling AI models in production;

  • Contribute to the research and experimentation of new techniques and technologies in Machine Learning and AI;

  • Participate in the collection, cleaning and preparation of marine data (ship position, wind, swell, air, water, acoustics, marine fauna, etc.) for analysis and processing.

The stack:

  • Google Cloud Platform

  • Java, Spring Boot, Python and R (Back-End)

  • AngularJS and Bootstrap (Front-End)

  • MySQL, PostgreSQL and BigQuery

  • Jenkins, Maven and Git

  • Devops et docker

  • Kafka and Redis

  • Keycloak et Cloudflare


Profil recherché

What we’re looking for:

  • Master’s degree in IT or PhD with a specialization in image processing, computer vision and/or machine learning, and ideally 5+ years of experience in Image Processing or Computer Vision.

  • Advanced skills in Python.

  • Solid skills in Machine Learning libraries.

  • Strong skills in Deep Learning frameworks such as Tensorflow, Keras and Pytorch.

  • Relevant experience with databases, especially MySQL, BigQuery and NoSQL.

  • Positive team player – you thrive in a collaborative environment.

  • A successful experience in the cloud (Google, Amazon or Azure) and ML Ops would be greatly appreciated.


Déroulement des entretiens

  1. An first telephone interview with Guillaume (Talent Acquisition Manager)

  2. Two or three interviews with the technical team and the top management

  3. A potential technical test

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