AI & Data Engineer (GenAI)

Visa Hunt; Singapore; On-site; SGD 60,000 - 90,000; Full time

Job summary

Visa Hunt is seeking an AI & Data Engineer (GenAI) in Singapore to build dashboards, manage data pipelines, and support our AI scheduling platform. You will collaborate with business users to define metrics and ensure data sources are accurate, secure, and reliable.

You will gain hands-on experience with Metabase, BI tools, and ML concepts while contributing to ISO-compliance documentation and data governance efforts.

Qualifications

• Relational databases basics: SQL, schemas, access control, data integrity.
• Entry-level candidates welcome with foundational data skills.
• Familiar with BI tools and data visualization.
• Understanding ML concepts and data pipelines is a plus.

Responsibilities

• Build Metabase dashboards for real-time visibility into operations.
• Collaborate with business users to define metrics and validate data sources.
• Support AI scheduling platform training and refinement.

Skills

SQL

Data pipelines

ML concepts

AI-assisted development

Data integrity

Education

Bachelor's degree or Diploma in Computer Science/IT/Data Science/AI/Software Engineering/Cybersecurity

Tools

Metabase

Power BI

Tableau

Job description

AI & Data Engineer (GenAI)

Responsibilities

Dashboards & Reporting

• Build, refine, and maintain Metabase dashboards that give real-time visibility into print orders, production status, fulfilment, shipments, and operational exceptions
• Partner with business users to understand their reporting needs, define the right metrics, and validate that data sources are accurate
• Investigate and resolve discrepancies in reports, ensuring dashboards stay timely, trustworthy, and genuinely useful for day-to-day decisions

Database Security

• Conduct reviews across our databases to spot potential vulnerabilities or risks
• Document your findings clearly and put forward recommended security measures for management sign-off
• Keep an eye on user access levels, permissions, and general data integrity practices

AI Scheduling Platform

• Support the training, testing, and refinement of our AI scheduling engine using historical data, live data feeds, business rules, and feedback from users
• Help roll out scheduling recommendations and, where authorised, autonomous scheduling actions - always working within limits and escalation paths set by management
• Contribute to improving the platform's recommendation accuracy over time

Documentation & Escalation

• Maintain clear records of database reviews, dashboard logic, AI model updates, test outcomes, and requirement changes to support internal audits and ISO compliance
• Flag security concerns, data quality issues, access anomalies, or operational red flags to your manager without delay

Requirements

• Degree or Diploma in Computer Science, IT, Data Science, AI, Software Engineering, Cybersecurity, or a related field
• Open to entry-level applicants.
• Solid grounding in relational databases: SQL, schema design, access control, data integrity, and backup fundamentals
• Familiarity with BI/dashboarding tools such as Metabase, Power BI, Tableau, or similar
• Understanding of core machine learning concepts — model training, optimisation, data pipelines, and using historical/real-time data to drive predictions
• Comfortable working with AI-assisted development tools and modern AI-driven coding workflows