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Job Description

We are seeking a Machine Learning Researcher to help drive innovation in AI within our platform. This role involves performing advanced research in machine learning, testing various models, and optimizing them through pruning, fine-tuning, and deploying models into production. The ideal candidate will have a deep understanding of both theoretical and practical aspects of machine learning and will work closely with product and engineering teams to integrate AI solutions into our offerings.


Key Responsibilities:


  • Be the domain expert for machine learning algorithms, particularly in areas related to AI features for mobile performance monitoring
  • Experiment with various models to assess their suitability for production use cases
  • Prune and fine-tune machine learning models to optimize performance, speed, and resource usage
  • Design and execute experiments to compare model effectiveness, scalability, and efficiency
  • Deploy machine learning models into production environments, ensuring robustness, scalability, and efficient resource utilization
  • Monitor and maintain models post-deployment, ensuring they continue to perform optimally and adjust as needed
  • Stay up-to-date with the latest research and trends in machine learning and AI

Qualifications


  • Bachelor’s degree in Computer Science, Machine Learning, AI, or a related field
  • 3-4 years of relevant work experience
  • Strong experience in machine learning algorithms, model training, and optimization
  • Experience with model deployment and monitoring in production environments
  • Proficiency in Python and frameworks such as TensorFlow, PyTorch, or similar
  • Strong problem-solving skills and ability to work in a dynamic, collaborative environment
  • Familiarity using AWS for model deployment and deploying models to mobile devices is a plus

Job Details

Job Location
Cairo Egypt
Company Industry
General Engineering Consultancy
Company Type
Employer (Private Sector)
Employment Type
Unspecified
Monthly Salary Range
Unspecified
Number of Vacancies
Unspecified

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