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United Arab Emirates Jobs Expertini

Urgent! Data and AI Engineer Position in Sharjah - micro1

Data and AI Engineer



Job description

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.

Responsibilities

  • 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.

Qualifications

  • Advanced 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 Qualifications

  • 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.

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Required Skill Profession

It & Technology



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