Machine Learning Engineer

Machine Learning Engineer

Location: Dubai, UAE

About Us
We are a leading independent telecoms infrastructure company, with one of the most extensive tower portfolios across Africa and the Middle East. Our business model promotes tower infrastructure sharing and enables mobile network operators to deliver connectivity more quickly, reliably and cost-effectively, driving sustainable development in our markets.

Overview
Reporting to the Director of Digital Innovation, you will design, build and deploy production-grade machine learning solutions, driving data-driven insights for our global tower-management platform.

Key Responsibilities

• Ingest and preprocess structured/unstructured data (images, text, time series)
• Engineer and select features to maximise model performance
• Prototype and implement ML algorithms using TensorFlow, PyTorch or scikit-learn
• Perform hyperparameter tuning, cross-validation and model selection
• Define evaluation metrics (precision, recall, F1, ROC-AUC) and conduct A/B tests
• Containerize and deploy models (Docker, Kubernetes, SageMaker, Azure ML)
• Build CI/CD pipelines for data, code and model artifacts; automate retraining and rollback
• Monitor model performance, data drift and system health; alert on anomalies
• Document model designs, data schemas, APIs and runbooks

Experience & Skills

• 3–5+ years delivering ML into production
• Hands-on with Python and ML libraries (TensorFlow, PyTorch, scikit-learn)
• Data processing: Pandas, NumPy, Spark
• MLOps tools: MLflow, Kubeflow; cloud deployment (AWS, Azure, GCP)
• Domain experience in computer vision, NLP or forecasting
• Agile/Scrum collaboration; strong analytic and communication skills

Qualifications

• Bachelor’s/Master’s in CS, Data Science, Statistics or related
• AWS Certified Machine Learning – Specialty
• Google Professional ML Engineer
• Microsoft Certified: Azure AI Engineer Associate
• Proficiency in SQL, Git, Docker and Kubernetes

Benefits

• Competitive basic salary
• Discretionary bonus
• Health insurance
• Life insurance

Helios Towers is committed to promoting equal opportunities in employment. You and any job applicants will receive equal treatment regardless of age, disability, marital status, pregnancy or maternity, race, colour, nationality, ethnic or national origin, religion or belief.