AI/ML, Data Governance & Integration - Graduate Trainee

Role : Graduate Trainee – AI/ML, Data Governance & Integration

Exp : 0-2 Years

Work Location : Jubail, KSA

Objective

• To develop future-ready Saudi talent in Artificial Intelligence, Machine Learning, Data Governance, Informatica Intelligent Data Management Cloud (IDMC), Enterprise Integration, and Modern Data Platforms.

Program Goal

• Build skilled professionals capable of supporting enterprise AI, analytics, data quality, metadata management, API integration, cloud data engineering, and digital trans

AI & Machine Learning

• Assist in developing AI/ML models, data preparation, feature engineering, model evaluation, and AI use-case implementation.

Data Governance

• Support data quality monitoring, business glossary creation, metadata management, data cataloging, stewardship activities, and data lineage documentation.

Informatica Platform

• Assist in Informatica IDMC, Data Quality (DQ), Data Catalog, Metadata Management, Data Governance, and Data Integration activities.

Integration Layer

• Participate in API development, ETL/ELT processes, data migration, system integrations, and orchestration workflows.

Data Engineering

• Support data ingestion, transformation, validation, analytics, and reporting initiatives.

Analytics & Reporting

• Develop dashboards, reports, and KPIs using modern analytics tools.

Data Quality

• Analyze data issues, create quality rules, monitor anomalies, and support remediation activities.

Documentation

• Prepare process documents, technical specifications, architecture diagrams, and SOPs.

Innovation

• Participate in AI/GenAI hackathons, POCs, innovation programs, and automation initiatives.

Collaboration

• Work with business users, architects, data scientists, governance teams, and integration specialists.

Degree

Bachelor's Degree in Computer Science, Artificial Intelligence, Data Science,

Information Systems, Software Engineering, Computer Engineering, Mathematics, Statistics, or related fields

Academic Performance

Minimum GPA 3.0/4.0 or equivalent preferred

Graduation Year

Recent graduates (Last 0-2 years)