The Justice and Accountability Center in Syria (SJAC) is the engineer of vision and automatic learning (consultant) to share a 6 -month distance, with a possible extension. Supports the role of projects that depend on the task using open source tools, while emphasizing the ability to expand and reliably.

The ideal filter will bring deep experience in visual computing and natural language processing (preferably NLP and RTL languages ​​such as Arabic), with a busy record in applying these skills to problems in the real world. You should be comfortable at work through a full ML life cycle, designed by models and training to publishing and monitoring, and being enthusiastic about work that combines artistic innovation and social influence.

• Design and improve computer vision and algorithms.
• Building CV systems can be developed for large photo data collections.
• Development of pre -processed pipelines (for example, detection, desking) to enhance OCR.
• Evaluating the enhanced OCR techniques/models of Arab documents.
• Build pipelines from end to end of the image to enter the feature, classification and assembly.
• Solve technical challenges in biography and merge models into SJAC products.
• Write a clean symbol, from the production category after best practices.

• MSC in computer vision, machine learning, or bachelor’s in computer science with AI or CV specialization. The equivalent work experience may be accepted.
• An experiment installed in the fields of computer vision and machinery (specifically deep learning).
• A busy record for the leading CV/ML projects from concept to production.

• Efficiency in Bethon and deep learning frameworks like Pytorch or Tensorflow.
• Experience with both ML CV techniques, including OpenCV.
• A strong understanding of the modern deep educational structure, including transformers.
• Practical experience with open source libraries and models axes, such as embracing face.

• Experience ML models on cloud platforms (for example, AWS) with resource restrictions.
• Maher in designing ML production lines to produce MLOPS tools (version, workflow, monitoring, improvement)
• The ability to evaluate and improve ML standards such as speed, expansion and energy consumption.

• The ability to read and understand the Arabic language is a strong addition.
• Infintering with ML techniques.
• Practical experience with open source libraries and models axes, such as embracing face.
• Influence with large and multimedia vision models.