onsite
Machine Learning Engineer
Machine Learning Engineer
The Machine Learning Engineer will develop and implement ML algorithms to optimize telecommunications operations and enhance network performance. This role involves collaborating with cross-functional teams to design and deploy scalable ML models using PyTorch and Scaler, as well as analyzing data and building deep learning pipelines.
About the role
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.