(Senior) Research Engineer, Digital Services, IAIC

A*STAR Research; Singapore; Sur place; SGD 120 000 - 180 000; Plein temps

Résumé du poste

A*STAR Research in Singapore seeks a Senior AI Engineer to lead design, implementation and scaling of AI infrastructure, bridging data science and software engineering to build robust, automated pipelines and lifecycle practices.

You will drive high-performance ML platforms, champion privacy-first architectures, and collaborate with cross-disciplinary teams to deliver scalable, developer-friendly systems that support national AI initiatives.

Qualifications

• 1–6+ years in software/platform/devops with 3+ years in MLOps or AI infrastructure.
• Experience designing, building and maintaining end-to-end ML platforms.
• Proficiency in Python and at least one high-performance backend language (Go, C++, Rust or Java).
• Cloud-native architectures and container orchestration (AWS/GCP/Azure; Docker, Kubernetes).

Responsabilités

• Lead the design, implementation, and scaling of AI infrastructure.
• Build automated pipelines and lifecycle practices for model development, deployment and monitoring.
• Bridge data science and software engineering to establish robust, reusable AI systems.
• Architect privacy-first data infrastructures and high-velocity data processing.

Connaissances

MLOps

ML Platform

Python

Go

Rust

Java

Outils

Docker

Kubernetes

Helm

AWS

GCP

Azure

Description du poste

(Senior) Research Engineer, Digital Services, IAIC

Requisition ID: 2658 Posting Start Date: 10/07/2026

Job Summary

About the Role

We are seeking highly experienced Senior AI Engineers to lead the design, implementation, and scaling of AI infrastructure. In this role, you will bridge the gap between data science and software engineering by building robust, automated pipelines and establishing best practices for model development, deployment and lifecycle management.

We are looking for someone who is passionate about building highly efficient, reusable, and developer-friendly AI systems.

Why Join Us

At the Agency for Science, Technology and Research (A*STAR), Singapore’s leading public sector R&D agency, you will work at the vibrant intersection of frontier scientific research and real-world industrial translation. Engineers at A*STAR have the unique opportunity to design and build AI infrastructure that scales across incredibly diverse, multi-disciplinary domains—from advanced manufacturing and digital healthcare to sustainability and transportation.

A*STAR heavily invests in its engineers’ growth, offering a highly collaborative research culture, competitive benefits, robust pathways for continuous learning, and the unique chance to work on nationally-significant Smart Nation initiatives that impact lives globally.

What You Will Do

• Drive Data Leadership: Provide authoritative technical leadership on critical data infrastructure, championing privacy-first architectures, complex transformations, and risk-aware AI training approaches.
• Architect the Engine: Design, build, and relentlessly optimize a robust, next-generation data tech stack and ETL/ELT pipelines engineered for massive scalability and high-velocity efficiency.
• Guarantee Integrity: Establish and enforce uncompromising validation frameworks to ensure absolute data accuracy, consistency, and integrity—eliminating "garbage in, garbage out" for our AI systems.
• Align with Strategy: Strategically align the core data infrastructure with SDSO objectives and critical project needs, ensuring seamless support for advanced analytics and enterprise-scale transformations.
• Shape the Narrative: Bridge the gap between deep technical implementation and strategic vision. You will ensure complex data handling constraints and assumptions are explicitly and compellingly reflected in the technical narrative of project proposals.

Requirements

• Proven Scale: 1 to 6+ years of experience in Software Engineering, Platform Engineering, or DevOps, with at least 3+ years strictly dedicated to MLOps, AI Infrastructure, or ML Engineering in a high-traffic, production environment. Candidates with no experience but with great interest in mastering advanced AI capabilities are welcome to apply.
• Architectural Vision: Demonstrated experience designing, building, and maintaining end-to-end ML platforms from the ground up, moving beyond single-model deployments to centralized organizational infrastructure.
• Engineering Rigor: Deep proficiency in Python and strong knowledge of at least one high-performance backend language (e.g., Go, C++, Rust, or Java). You write clean, testable, and production-grade code.
• Cloud & Container Mastery: Experience with cloud-native architectures (AWS, GCP, or Azure) and deep fluency in containerization and orchestration (Docker, Kubernetes, Helm).