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Job Description
AI Engineer is responsible for understanding the business problems, identifying/applying right AI or cognitive computing technologies to solve problems, and involving in the formulation and execution of technology recipes.
- Develop required machine learning models or prototype applications applying formulated AI recipes and verify the problem/solution fit.
- Understand the business problem, challenge of existing technologies and areas of application for AI technologies.
- Identify and choose the right AI or cognitive computing technologies for solving problems and formulate AI recipes for development.
- Participating in building new experiences, improve existing products, ensure quality assurance test designs and contributing to test systems architecture discussions.
- Work alongside leading innovators in the field of deep learning and health care, play a critical role in algorithm development.
- Analyze and evaluate data and build deep networks to detect or predict features, while effectively balancing quality, availability, timeliness and cost factors.
- Constructively discuss your findings in dialog with consultants and clients while always looking for the best solution.
Job Requirements
EXPERIENCE
- +2 years of software engineering experience or a master's degree in quantitative fields like Computer Science, Engineering or related field required, with a significant focus on deep learning
EDUCATION
- BC.S in Computer Science or a related discipline
LANGUAGE
- Arabic and English are mandatory (Spoken and writing).
REQUIRED SKILLS
- Intuitive sense of how to architect high performance distributed computing systems for machine learning & tie them to business problems
- Strong background in machine learning and parallel processing pipelines
- Experience in working with large datasets and relational databases (SQL)
- Experience with deep learning frameworks like TensorFlow, Caffe, Torch, Theano; projects on computer vision are a strong plus
