Data and AI Engineer

OverviewJob Title: Data & AI EngineerJob Type: Full-TimeLocation: Onsite - Sharjah, UAEJob 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.ResponsibilitiesDesign, 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.QualificationsAdvanced programming in Python, especially for data engineering and machine learning.Deep proficiency in SQL and hands-on experience with relational (MySQL, PostgreSQL) and non-relational (MongoDB) databases.Expertise with cloud-based data tools (Azure Data Factory, AWS) and ETL/ELT pipeline development.Proven ability with AI/ML frameworks such as TensorFlow, PyTorch, Scikit-learn, and HuggingFace.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.Preferred QualificationsBackground 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.#J-18808-Ljbffr