Data and AI Engineer

Overview

Job Title:

Data & AI Engineer

Job Type: Full-Time

Location:

Onsite - Sharjah, UAE

Job Summary:

Join our team as a Data & AI Engineer and become an integral part of a forward-thinking organization in the education and research sector. You will architect robust and scalable data and AI solutions, driving innovation through advanced data engineering and end-to-end machine learning in a government setting. This role values written communication and thrives in an asynchronous, highly collaborative environment.

• Design, build, and optimize scalable ETL/ELT pipelines using Python, SQL, and orchestration tools such as Airflow, Talend, or Spark.
• Develop, deploy, and maintain machine learning models, implementing MLOps best practices for model versioning, monitoring, and retraining.
• Manage and scale cloud-based data and AI infrastructure, optimizing storage, compute resources, and performance for large-scale analytics.
• Ensure robust data governance and compliance, integrating regulatory requirements such as GDPR across data workflows and AI models.
• Integrate third-party APIs, automate complex data workflows, and support backend data structures for business intelligence and analysis.
• Collaborate cross-functionally to analyze trends, engineer features, and translate data insights for technical and non-technical audiences.
• Document pipelines, model architectures, and metadata while diagnosing and resolving technical issues with a root-cause approach.

• Advanced programming in Python, especially for data engineering and machine learning.
• Deep proficiency in SQL and hands-on experience with relational (MySQL, Postgre
  
  SQL) and non-relational (Mongo
  
  DB) databases.
• Expertise with cloud-based data tools (Azure Data Factory, AWS) and ETL/ELT pipeline development.
• Proven ability with AI/ML frameworks such as Tensor Flow, PyTorch, Scikit-learn, and Hugging Face.
• Hands-on experience applying MLOps principles for model lifecycle management.
• Strong understanding of orchestration tools like Apache Airflow.
• Excellent written communication skills, vital for asynchronous collaboration.
• Bachelor’s or Master’s degree in Computer Science, Data Engineering, Artificial Intelligence, or related field.
• Minimum 7 years  experience in data engineering, AI, or advanced analytics, with at least 2 years on AI/ML projects.

• Background in responsible AI, bias detection, and model explainability.
• Experience with data governance, compliance frameworks, and explainable AI (XAI).
• Exposure to advanced cloud-based AI orchestration and emerging ML technologies.