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Levy Search

Machine Learning Engineer

Department
Engineering
Job Type / Location
Dubai
Experience Required
0+ years
Posted On

Company Overview

Our client is a prominent telecommunications company based in the UAE, dedicated to providing cutting-edge solutions to enhance communication networks and services across the region.

Job Responsibilities

  • Develop and implement machine learning algorithms to optimize telecommunications operations and enhance network performance.
  • Collaborate with cross-functional teams to design and deploy scalable machine learning models using PyTorch and Scaler.
  • Analyze data sets to identify patterns and trends, providing valuable insights for network optimization and predictive maintenance.
  • Build and maintain deep learning pipelines, ensuring efficient data processing and model training.
  • Contribute to the research and development of innovative machine learning solutions to address specific telecom challenges.
  • Stay updated on industry trends and emerging technologies to drive continuous improvement in machine learning applications within the telecommunications sector.

Requirements

  • Bachelor's or Master's degree in Computer Science, Engineering, or related fields.
  • Proven experience in machine learning development, with a strong proficiency in PyTorch and Scaler frameworks.
  • Proven experience with Python
  • Solid understanding of data pre-processing, feature engineering, and model evaluation techniques.
  • Hands-on experience in deploying machine learning models in production environments.
  • Excellent communication and teamwork skills, with the ability to collaborate effectively in a diverse work environment.
  • Conversational level of Arabic language proficiency to engage effectively with local stakeholders.

Benefits

  • Competitive salary package.
  • Health insurance benefits.
  • Professional development opportunities.
  • Fast-paced and innovative work environment.
  • Opportunity to work with cutting-edge technologies in the telecommunications industry.

View Assessment Process

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