Graduate Trainee in AI/ML, Data Governance & Integration
Al Jubail, Eastern Province, Saudi Arabia · Full Time
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- Experience
- Up to 2 yrs
- Salary
- —
- Openings
- 1
- Posted
- 4 days ago
- Work mode
- In office
- Education
- Bachelor's degree in Computer Science, AI, Data Science, Information Systems, Software Engineering, Computer Engineering, Mathematics, Statistics, or related fields
- Eligibility
- Applicants must be recent graduates (within 0-2 years) with a relevant Bachelor's degree and preferably a GPA of 3.0/4.0 or higher.
- Resume
- Required to apply
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Job description
About the Role
This opportunity is designed for fresh graduates aiming to gain expertise in Artificial Intelligence, Machine Learning, Data Governance, and Data Integration using modern platforms like Informatica Intelligent Data Management Cloud (IDMC). The position is based in Jubail, Saudi Arabia, and targets building proficient professionals to support various enterprise data and AI initiatives.
Key Responsibilities
- Assist in building AI and ML models including data preparation, feature engineering, model assessment, and implementing AI solutions.
- Support activities related to data governance such as monitoring data quality, maintaining a business glossary, managing metadata, cataloging data assets, performing stewardship tasks, and documenting data lineage.
- Engage with the Informatica platform to assist in areas like IDMC, data quality, data cataloging, metadata management, governance, and integration functions.
- Participate in the development of APIs, ETL/ELT workflows, data migrations, system integrations, and process orchestrations.
- Contribute to data engineering tasks including data ingestion, transformation, validation, and supporting analytics and reporting efforts.
- Create dashboards, reports, and Key Performance Indicators (KPIs) through the use of modern analytics tools.
- Analyze data-related issues, establish data quality rules, monitor anomalies, and aid in corrective actions.
- Draft process documentation, technical specifications, architecture diagrams, and Standard Operating Procedures (SOPs).
- Engage in innovative activities such as AI/GenAI hackathons, proof of concepts, pilot programs, and automation projects.
- Collaborate effectively with business stakeholders, solution architects, data scientists, governance teams, and integration experts.
Candidate Eligibility & Education
Suitable candidates should hold a Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, Information Systems, Software Engineering, Computer Engineering, Mathematics, Statistics, or related disciplines. Preferred applicants will have graduated within the last two years with a minimum GPA of 3.0/4.0 or equivalent.
Minimum education
Bachelor's Degree