Person Appearance Identification for Audiovisual Content Analysis

EURAXESS Czech Republic; Oviedo; Presencial; EUR 42.000 - 64.000; Jornada completa

Descripción de la vacante

EURAXESS Czech Republic is seeking a candidate to lead face appearance identification for audiovisual content analysis using AI and deep learning techniques, including face detection, recognition, and identity enrollment.

The role requires Python programming with AI/ML libraries, OpenCV for video and image processing, and experience with TensorFlow or PyTorch, plus Git for collaboration.

Formación

• Requires programming in Python and use of AI/ML libraries.
• Experience with video and image processing and OpenCV.
• Knowledge of deep learning frameworks (TensorFlow, PyTorch).
• Experience with version control and collaborative development (Git/GitHub).

Responsabilidades

• Face detection, face recognition, and dynamic identity enrollment and updating for audiovisual content analysis.
• Develop and validate AI/ML models for analysis tasks.
• Collaborate with team to integrate solutions into workflows.

Conocimientos

Analytical skills

Teamwork abilities

Herramientas

Python

OpenCV

scikit-learn

pandas

TensorFlow

PyTorch

Git / GitHub

Descripción del empleo

Offer Description

Person appearance identification for audiovisual content analysis using artificial intelligence and deep learning techniques, including face detection, face recognition, and dynamic identity enrollment and updating.

• Programming in Python and use of AI/ML libraries (scikit-learn, pandas).
• Proficiency in video and image processing (OpenCV).
• Knowledge of deep learning (TensorFlow, PyTorch).
• Experience with version control and collaborative development (Git/GitHub).

Analytical skills and teamwork abilities