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Open nowPosted 7 hours agoWe saw it 37 min after it went up

Senior ML Engineer

Workable (global search)107,990 open roles

Where
Cairo, Cairo Governorate, Egypt
Work mode
Remote
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Your applicationOpen nowSenior ML EngineerWorkable (global search) · Cairo, Cairo Governorate, Egypt

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7.9% of postings close within 7 days. Measured by our own scanner across the market. Workable (global search) postings stay open a median of 6 days.

Share of postings closed within
  1. 1.6%1 day
  2. 3.6%3 days
  3. 7.9%7 days
  4. 14.9%14 days
  5. 34.0%30 days
This job: posted 7 hours ago

Workable (global search) median: 6 days open

The posting

Job Description

We are looking for a Senior Machine Learning Engineer with strong experience in the Telecommunications (Telco) domain to design, develop, deploy, and maintain production-ready machine learning solutions.

The ideal candidate will have hands-on experience in ML model development, feature engineering, deployment, monitoring, and retraining, with a strong understanding of MLOps practices and the end-to-end machine learning lifecycle.

Key Responsibilities

  • Develop and deploy production-grade machine learning models for Telco use cases.
  • Build ML solutions for use cases such as customer churn prediction, customer segmentation/clustering, and demand forecasting.
  • Prepare, clean, transform, and analyze large customer datasets.
  • Perform feature engineering and develop relevant features for machine learning models.
  • Train, validate, and evaluate supervised and unsupervised machine learning models.
  • Use Python for data preparation, model development, validation, and automation.
  • Use SQL to access, extract, transform, and process data from various sources.
  • Implement and maintain MLOps pipelines across the ML lifecycle.
  • Manage model versioning, deployment, production monitoring, and retraining.
  • Monitor model performance and data/model drift in production and take appropriate corrective actions.
  • Collaborate with data engineers, data scientists, and business stakeholders to deliver scalable ML solutions.
  • Ensure ML models are reliable, maintainable, and suitable for production environments.
  • Continuously improve existing models, features, and ML workflows based on production results.

Requirements

Requirements

  • 4+ years of experience in Machine Learning, Data Science, or a related field.
  • Telco/Telecommunications domain experience is a MUST.
  • Proven experience building and deploying production ML models for Telco use cases, such as:
  • Churn prediction
  • Customer clustering/segmentation
  • Demand forecasting
  • Customer behavior prediction
  • Strong knowledge of supervised and unsupervised machine learning techniques.
  • Strong hands-on experience with Python for data preparation, feature engineering, and ML model development.
  • Strong SQL skills for accessing, processing, and analyzing customer data.
  • Hands-on experience with feature engineering and customer data preparation.
  • Practical MLOps experience, including:
  • Model versioning
  • Model deployment
  • Production monitoring
  • Model retraining
  • Experience with MLflow or an equivalent MLOps/model lifecycle management platform.
  • Experience taking ML models from development through production deployment and ongoing monitoring.
  • Ability to evaluate model performance and identify opportunities for model improvement.
  • Strong understanding of the end-to-end machine learning lifecycle.
  • Experience with Dataiku or equivalent enterprise ML platforms is a plus.
  • Experience with Spark, Feature Stores, or uplift modelling is a plus.
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