Senior Applied Scientist

About Presight

Presight is an ADX-listed public company with Abu Dhabi based G42 as its majority shareholder and is the region’s leading big data analytics company powered by GenAI. It combines big data, analytics, and AI expertise to serve every sector, of every scale, to create business and positive societal impact. Presight excels at all-source data interpretation to support insight-driven decision-making that shapes policy and creates safer, healthier, happier, and more sustainable societies. Today, through its range of GenAI-driven products and solutions, Presight is bringing Applied AI to the private and public sector, enabling them to realize their AI strategy and ambitions faster.

We are looking for a highly skilled Senior Applied Scientist to join our company. In this role, you will design, create, and implement various Machine Learning and Computer Vision models for Smart Cities and IoT platforms. As a part of Data Science R&D team, you will work closely with an agile team as a champion of users to ensure AI use cases are implemented right. You will work closely with product manager to understand user requirements and translate them into a Machine learning models for developers and Engineers.

Senior Applied Scientist Responsibilities:

• Research, design, develop, implement, and optimize algorithms and software solutions to solve complex computer vision problems
• Create code that is elegant and maintainable
• Take accountability for solutions that are modular and testable. Have pride for building unit and regression testing to prove that your code and solutions truly work.
• Work closely with software engineering and product development teams on tech selections and solutions.
• When necessary, debug, optimize and aspire to make things pixel-perfect. Be willing to spend time in making things truly amazing, not just great.

Senior Applied Scientist Requirements:

• PhD/Master's degree in Computer Science, Applied Mathematics, or other Engineering disciplines in related fields or equivalent work experience.
• Must have done academic research in aforementioned fields for at least one year.
• Published articles on IEEE Transactions or other top-level journals, and/or on top-level AI/ ML) / CV conferences will be a definite advantage.
• Hands-on experience in feature extraction, feature (eye, pose, gesture, object) tracking, object recognition, object classification, image segmentation and scene understanding
• Experience in dealing with multi-sensor, multi-modal, multi-camera systems
• Minimum 7+ years of professional R&D experience in Computer Vision, Digital Image Processing, and/or Machine Learning
• Experience in training and evaluating models using TensorFlow and Pytorch
• Experience with training large-scale systems on large data sets
• Fluent in C/C++ and Python with over 4 years of experience
• Track record of shipping working code and solutions based on your contributions
• Team player, ability to perform in cross functional teams and to share knowledge to others
• Good communication skills in English