Principal Applied Scientist

Inception


Date: 3 days ago
City: Abu Dhabi
Contract type: Full time
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 (PoCs) 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 (TensorFLow, PyTorch, 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 OpenCV, scikit-learn, VLFEAT, Pillow Experience
  • In-depth knowledge of the latest developments in AI and machine learning

617

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