AI Computer Vision, Apprentice

Yourmission
LAcoustics is looking for an AI Computer Vision apprentice to join our Data& AIdepartment. Under the supervision of the Global Data & AI Directorand our Senior AI Engineer your main missionwill be to contribute to the development deployment and continuous improvement of advanced visionbased solutions.

Responsabilities:

• Participate in the design and development of computer vision solutions focused on anomaly detection for industrial or innovative use cases.

• Implement and optimize algorithms for image and video analysis with a particular emphasis on detecting anomalies defects or irregularities in visual data.

• Contribute to the integration of vision models into production pipelines (APIs microservices CI/CD).

• Conduct technology watch on the latest advances in computer vision and anomaly detection (deep learning recent architectures open-source frameworks).

• Collaborate with business teams (industry) to define needs and translate business problems into technical solutions.

• Participate in the drafting of technical documentation and presentation of results.

Qualifications:

• Masters student (M1) in computer science applied mathematics AI computer vision ora relatedfield.

• Previousexperience (internship academic or personal project) in computer vision or deep learning ideally with exposure to anomaly detection.

• Comfortable handling structured and unstructured data (images videos annotations).

• Autonomy curiosity rigor and eagerness to learn.

Skills:

• Solid understanding of the fundamentals of computer vision and deep learning with a focus on anomaly detection techniques.

• Proficiencyin Python and main libraries (OpenCVPyTorch TensorFlow scikit-image etc.).

• Knowledge of neural network architectures for vision (VLM CNN Transformers GAN etc.) with practical experience in anomaly detection methods (autoencoders one-class classifiers patch-based detection etc.).

• Experience with data management tools (annotation augmentation preprocessing pipelines).

• Familiarity with model deployment (Docker REST API cloud platforms such as Azure/GCP/AWS).

• Sensitivity to data quality model robustness and AI ethics.

• Ability to work in a team communicate and explain technical concepts to non-experts.

Must Have

• Proficiencyin Python for developing computer vision algorithms.

• Knowledge of deep learning frameworks (PyTorch TensorFlow).

• Ability to read and understand scientific articles in English.

Nice to Have

• Experience withMLOpstools (MLflow DVC model versioning).

• Knowledge of cloud platforms (Azure GCP AWS).

• Participation in challenges (KaggleDrivenData etc.) or open-source projects.

• Notions of DevOps and CI/CD.

• Knowledge of C

Certifications (Nice to Have)

• Microsoft Azure AI Fundamentals (AI-900) or equivalent.

Soft Skills:

• Team spirit sense ofsharingand mutual support.

• Ability to self-train and stay up to date on innovations in the field.

• Motivation to contribute to high-impact projects.