Machine Learning Engineer / Data Scientist

Role overview

Responsibilities

• Translate analytical requirements into predictive and optimization solutions.
• Perform data preparation and feature engineering.
• Train, test, validate, and explain ML models.
• Build model versioning, deployment, retraining, and monitoring pipelines.
• Integrate models into business and operational workflows.
• Prepare technical documentation and knowledge-transfer materials.

Required qualifications

• At least 6 years of data science or machine learning experience, including 3 years of hands-on model development and production deployment.
• Experience delivering end-to-end ML solutions in complex enterprise environments.
• Advanced Python, including pandas, NumPy, scikit-learn, and PyTorch or TensorFlow.
• Knowledge of regression, classification, clustering, time-series forecasting, anomaly detection, optimization, and model explainability.
• Hands-on Azure Machine Learning experience across notebooks, experiments, pipelines, registry, managed endpoints, and monitoring.
• Strong SQL and experience with large-scale structured and time-series datasets.
• Experience with ML flow, Git, Azure DevOps, CI/CD, Docker, APIs, and production ML Ops.
• English required; Arabic speaking preferred. Available for onsite work in Abu Dhabi and ASAP start.

Advantageous experience

• Microsoft Fabric, Spark, or Databricks experience is good to have.
• Relevant Azure Data Scientist or AI certifications are good to have.
• Relevant use cases include operational, energy, financial, asset-performance, forecasting, optimization, and predictive maintenance.