Senior ML Engineer

🔥 0 minutes ago

🇪🇬 Egypt – Remote

⏰ Full Time

🟠 Senior

🤖 Machine Learning Engineer

👻 Ghost score 11%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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SSC HR Solutions

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2006

💼 Consulting

📦 Logistics

🏥 Healthcare

Consulting • Logistics • Healthcare

SSC HR Solutions is a full-service HR consultancy that provides comprehensive human resource solutions tailored to meet the specific talent growth needs of businesses. With operating locations across Egypt, United Arab Emirates, Saudi Arabia, and Bahrain, SSC HR Solutions specializes in employee management, from hiring to termination, ensuring that businesses thrive in a competitive landscape. The company prides itself on understanding client needs and delivering high-quality services that foster growth and partnership.

📋 Description

• Develop and deploy production-grade machine learning models for Telco use cases • Build ML solutions for 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

• 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, including churn prediction, customer clustering/segmentation, demand forecasting, and 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, and 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