Cloud-Native AI Infrastructure Architect | MLOps Leader

Atome; Singapore; On-site; SGD 180,000 - 240,000; Full time

Benefits offered by this job

Competitive compensation

Equity package

Ownership of AI infrastructure

Job summary

Hytech is seeking an experienced AI Architect to design scalable, cloud-native AI infrastructure in Singapore. You will build end-to-end ML pipelines, feature stores, and multi-modal data platforms, collaborating with engineering, product, and data teams to deliver production-grade workloads.

Applicants should have 6+ years in AI/ML platforms and strong experience with cloud services, Docker, Kubernetes, and distributed systems. This role offers an impactful path in a leading consultancy.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, ML, or Systems Engineering.
• 6+ years building AI/ML platforms, cloud-native architecture, or infra engineering.
• Hands-on with Feast, Tecton or custom feature stores.
• Experience with Docker and Kubernetes for deployment.
• Strong understanding of distributed systems and ML CI/CD pipelines.

Responsibilities

• Architect and build end-to-end AI infrastructure across model lifecycle using cloud-native technologies.
• Design and maintain feature pipelines for vector, graph, and time-series databases.
• Lead centralized feature store design to support reusable ML features.
• Develop MLOps workflows and infrastructure-as-code for training, validation, deployment, and monitoring.
• Leverage AWS, AliCloud, GCP, and Azure services to optimize scalability and cost.
• Expose model serving platforms for low-latency inference at scale.

Skills

AI Architect

Cloud-native

AI/ML platforms

Infrastructure engineering

Feature stores

Docker

Kubernetes

Graph databases

Vector/embedding tech

CI/CD for ML

Education

Bachelor’s or Master’s degree in Computer Science / Machine Learning / Systems Engineering

Tools

Feast

Tecton

In-house platforms

Neo4j

Weaviate

Milvus

Job description

Hytech is seeking an experienced AI Architect to design scalable, cloud-native AI infrastructure in Singapore. You will build end-to-end ML pipelines, feature stores, and multi-modal data platforms, collaborating with engineering, product, and data teams to deliver production-grade workloads.

Applicants should have 6+ years in AI/ML platforms and strong experience with cloud services, Docker, Kubernetes, and distributed systems. This role offers an impactful path in a leading consultancy.