Principal Applied Scientist

Overview: Looking for a diligent and accomplished Principal Applied Scientist with a keen eye for detail to work directly with our engineering teams and carry G42's new age AI-driven products & solutions from conceptualization, planning & prototyping all the way to testing & delivery. Responsibilities: Functional: - Take new technologies from early concept to product level while iterating & prototyping and ensuring that the system predicts accurate & stable results.- Conduct in-depth data analyses, propose relevant optimization models & algorithms, and carry out proof of concept trials (Po Cs) according to client needs.- Improve accuracy of models/algorithms to solve problems encountered during the implementation.- Coordinate various teams to solve these problems in an efficient and cost-effective way.- Propose scenarios where AI techniques could improve the efficiency of client businesses.- Provide pre-sales and post-sales technical support to the business development team.- Invent, analyze, design, develop and optimize algorithms for G42 Smart Nation's range of platforms and solutions.- Analyze complex datasets to make insightful and relevant decisions regarding real-world applications.- Design, develop and conduct in-depth research projects.- Implement models & algorithms to enhance and upgrade existing systems, processes, and products.- Oversee all data analysis and generate visualizations.- Use modeling, simulation and optimization to design processes, algorithms, and prediction/classification systems.- Assess the feasibility of new approaches to business problems through experiments and research. Qualifications: To qualify, you must have- Master's Degree in Computer Science, Computer Engineering or Machine Learning- 4+ years' experience in AI and Machine Learning algorithm development- Python experience of at least three years, with usage within the last two years- Hands-on experience with AI frameworks (Tensor FLow, Py Torch, Keras)- In-depth understanding of machine learning techniques, such as SVM, Decision Tree, Markov Chain, graph analysis (e.g. probabilistic graph model), etc.Ideally, you'll also need- Outstanding problem-solving and analytical abilities- Excellent written and verbal communication skills- Demonstrated experience in collaborating with cross-functional teams- Hands-on experience with CV/ML libraries such as Open CV, scikit-learn, VLFEAT, Pillow Experience- In-depth knowledge of the latest developments in AI and machine learning#J-18808-Ljbffr