AI Engineer

VIRTUOS HOLDINGS PTE. LTD.; Singapore; On-site; SGD 80,000 - 110,000; Full time

Job summary

A technology and data solutions firm in Singapore is seeking an AI Engineer to design and deploy AI agents for operational workflows. Candidates should have a Bachelor's or Master's degree in Computer Science or a related field, with 4–8 years of experience in data engineering and machine learning. Proficiency in Python, SQL, and Power Platform is essential. Responsibilities include integrating agents with enterprise systems and developing predictive ML models for data analysis.

Qualifications

• 4–8 years’ experience in data engineering, machine learning, or automation.
• Strong hands-on experience with regression/classification models and anomaly detection.
• Ability to explain technical solutions to non-technical stakeholders.

Responsibilities

• Design, build, and deploy AI agents for operational workflows.
• Integrate agents with enterprise systems via APIs or connectors.
• Develop and deploy predictive ML models for various datasets.

Skills

Python

SQL

Power Platform

Machine Learning

Data Engineering

EDA

Communication

Education

Bachelor’s or Master’s in Computer Science, Data Science

Tools

Microsoft Fabric

Power BI

Azure AI

Job description

Responsibilities

• Design, build, and deploy AI agents for operational workflows.
• Integrate agents with enterprise systems (ERP, HRIS, SharePoint, Dynamics 365, Salesforce) via APIs, Power Automate, or Graph connectors.
• Implement agent telemetry and observability pipelines using Microsoft Fabric or Power BI.
• Apply RAG (Retrieval‑Augmented Generation), context injection, and prompt‑chaining for knowledge‑aware automation if needed.
• Maintain security, versioning, and audit trails for all agent deployments.
• Perform exploratory data analysis (EDA) on Finance, HR, or current datasets to identify automation opportunities and trends.
• Develop predictive ML models (e.g., anomaly detection, risk scoring).
• Deploy ML models into Power BI, agents through Fabric ML endpoints, or Python scripts.
• Collaborate with BI team to transform model output into decision‑ready dashboards and alerts.
• Continuously measure ROI and performance through agent telemetry and statistical evaluation.
• Partner with the AI BA to translate business logic into model features and automation workflows.
• Work with BI teams to ensure data readiness, integrity, and lineage.
• Document models, pipelines, and prompts for auditability and reproducibility.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Data Science, or related field.
• 4–8 years’ experience in data engineering, machine learning, or automation.
• Strong proficiency in Python, SQL, and Power Platform (Power Automate, Copilot Studio, Power Apps).
• Hands‑on experience with EDA, regression/classification models, clustering, anomaly detection, and time‑series forecasting.
• Familiarity with Azure AI / Azure Machine Learning / Fabric ML environment.
• Understanding of RAG pipelines, prompt‑engineering, and LLM integration a plus.
• Experience working with structured (ERP, Finance, HR) and semi‑structured data (documents, logs).
• Strong communication skills—can explain technical solutions to non‑technical stakeholders.
• Bonus: Exposure to Finance or Shared‑Service operations preferred.