Senior ML Engineer

# Senior ML Engineer > SSC HR Solutions · Cairo, Egypt (Remote) · — · Posted 2026-10-04 **Workplace:** remote **Department:** Engineering ## Description 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. ## Apply [Apply at SSC HR Solutions](https://apply.workable.com/ssc-hr/j/0262CA0CE9/apply) --- Powered by [Workable](https://www.workable.com)