Computer Vision & Deep Learning Research Scientist
A
Adoc Talent ManagementDefenseTech AI
Centre de Paris, with a regular remote working policy.Full-TimeSenior
SalaryHighly attractive compensation depending on profile, plus BSPCE stock options.
Apply NowOpens the employer's application page
Job Details
- Languages
- English
- Experience
- 5 to 10 years
- Required Skills
- PostgreSQLPythonSQLGitPyTorchDeep Learningscikit-learnComputer Vision
Requirements
- PhD (Doctorate) or Master's / Engineering degree specialized in Artificial Intelligence, Deep Learning or Computer Vision.
- 5 to 10 years of solid experience in the field.
- Strong command of Python, algorithm design, and Git.
- Essential expertise in Deep Learning and Computer Vision (ideally applied to satellite, airborne or drone imagery).
- Practical experience with advanced neural networks, including multimodal architectures and Transformer-based models.
- In-depth knowledge of scientific computing and deep learning frameworks (PyTorch, JAX/Flax, scikit-learn, NumPy, Numba, Joblib).
- Strong knowledge of database management, particularly SQL and PostgreSQL.
- Fluent English is essential for this international environment.
Responsibilities
- Define, model and lead algorithmic research projects focused on the analysis, segmentation, object detection and classification of complex images (satellite and airborne imagery).
- Carry out rigorous scientific monitoring of the state of the art in deep learning and computer vision, and proactively introduce new product methodologies.
- Develop and train models while optimizing frameworks to ensure fast, smooth and robust deployment into production.
- Work closely with Data Engineers and Software Developers to ensure the interoperability of the technological building blocks developed.
- Collaborate actively with end users and domain experts to gain a thorough understanding of their contextual constraints and adapt the models accordingly to operational realities (occasional travel to operational sites is to be expected).
View Full Description & ApplyYou'll be redirected to the employer's site
