Helios Towers is seeking a skilled Machine Learning Engineer to join its Dubai-based team. This full-time, on-site role is ideal for professionals with a strong background in deploying production-grade ML solutions. Reporting to the Director of Digital Innovation, you’ll help drive data-driven insights across a global tower-management platform, supporting one of the most extensive telecom infrastructure portfolios in Africa and the Middle East.

Key Responsibilities:

• Ingest and preprocess structured and unstructured data (images, text, time series)
• Engineer features and prototype ML models using TensorFlow, PyTorch, or scikit-learn
• Perform hyperparameter tuning, cross-validation, and model selection
• Define evaluation metrics (e.g., precision, recall, F1, ROC-AUC) and conduct A/B testing
• Containerize and deploy models using Docker, Kubernetes, SageMaker, or Azure ML
• Build CI/CD pipelines for data, code, and model artifacts
• Monitor model performance, data drift, and system health
• Document model designs, data schemas, APIs, and runbooks

Experience & Skills:

• 3–5+ years of experience delivering ML models into production
• Proficiency in Python and ML libraries (TensorFlow, PyTorch, scikit-learn)
• Data processing expertise with Pandas, NumPy, and Spark
• Familiarity with MLOps tools (MLflow, Kubeflow) and cloud platforms (AWS, Azure, GCP)
• Domain experience in computer vision, NLP, or forecasting
• Strong analytical, communication, and Agile/Scrum collaboration skills

Qualifications:

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

What Helios Towers Offers:

• Competitive base salary
• Discretionary bonus
• Health and life insurance
• Inclusive and equal opportunity work environment