Data Engineer (Data Scientist – AI & Automation)

Role Summary

Own the end-to-end AI stack for four key initiatives—fraud detection, mobile-app personalization, low-code automations (Google AppSheet), and a WhatsApp chatbot. You’ll turn

raw data into production-grade models, liaise with domain experts (fraud, product, customer

support) and coordinate with third-party vendors to hit rapid short-term milestones while steering the long-term AI roadmap.

Responsibilities (Functionalities And Activities)

• Data Engineering & Quality Develop and maintain ELT/ETL pipelines and SQL models, ensuring accurate data lineage and validation.
• Labeling & Feature Management Design labeling strategies and manage a structured feature catalog to support model development.
• Modeling & Experimentation Train and evaluate machine learning models, conduct A/B testing, and assess build-versus-buy decisions.
• Deployment & Integration Deploy models as services or APIs and integrate them into applications, low-code workflows, and chat systems.
• Monitoring & Lifecycle Management Monitor model performance (drift, latency, cost), schedule retraining, and manage rollbacks when necessary.
  
  

Qualifications

• 1-3 yrs building & deploying ML models in Python (sklearn, TensorFlow or PyTorch)
• Solid SQL & data-pipelines (ETL, Airflow or similar)
• Familiar with cloud services (GCP preferred; AWS/Azure fine)
• Basic REST API design & consumption.
• Hands-on with at least one of: fraud analytics, recommender systems, conversational AI
• Experience with low-/no-code automation (Google AppSheet, Power Automate, Zapier, etc.)
• Strong stakeholder communication.
• Able to balance quick wins with scalable architectures.
• B.Sc. or higher in Data Science, CS, Engineering, Statistics, or related.
  
  

Preferred

• Exposure to WhatsApp Business Cloud API, Twilio, or similar messaging platforms.
• Real-time data streaming (Kafka, Pub/Sub, Kinesis)
• MLOps tooling (Docker, Kubernetes, Kubeflow, MLflow)
• Experience with feature stores & vector databases for personalization.
• Arabic & English fluency.