Machine Learning Engineer

Helios Towers; Dubai; On-site; USD 40,000 - 70,000; Full time

Job summary

Helios Towers seeks a Machine Learning Engineer to design and deploy machine learning solutions for their telecom infrastructure. The ideal candidate will leverage their expertise in Python, cloud platforms, and various ML libraries to enhance data-driven insights crucial for operational efficiency and innovation within the company.

Benefits

Basic Salary

Discretionary Bonus

Health Insurance

Life Insurance

Qualifications

• 3–5+ years delivering ML into production.
• Strong analytic and communication skills.
• Hands-on experience with cloud deployment.

Responsibilities

• Ingest and preprocess structured and unstructured data.
• Prototype and implement ML algorithms.
• Monitor model performance and alert on anomalies.

Skills

Python

Machine Learning Libraries

Data Analysis

Agile/Scrum

Education

Bachelor’s in CS, Data Science, or related

Google Professional ML Engineer

Tools

TensorFlow

PyTorch

scikit-learn

MLflow

Kubernetes

AWS

Azure

GCP

Job description

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French Language Expert and Senior Talent Acquisition Manager

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 maximize 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
• 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)
• 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
• Google Professional ML Engineer
• Proficiency in SQL, Git, Docker, and Kubernetes
• 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, color, nationality, ethnic or national origin, religion, or belief.

Seniority level

• Mid-Senior level

Employment type

• Full-time

Job function

• Information Technology
• Telecommunications

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