Attractive Job Opening for AI/ML Ops Engineer in Singapore

IITMATRIX PTE. LTD.; Singapore; On-site; SGD 70,000 - 90,000; Full time

Job summary

A leading tech company in Singapore is seeking an AIOps Engineer to oversee their GCP environment, ensuring reliable operations and management of cloud infrastructure. The role focuses on fault-tolerant application design, implementing CI/CD pipelines, and collaborating with data science teams for machine learning model management. Ideal candidates should have over 3 years of DevOps experience, with strong proficiency in GCP and AI Ops.

Qualifications

• 3+ years of experience in DevOps and cloud platforms.
• Strong expertise in GCP with Google Kubernetes Engine.
• Experience in AI Ops and managing ML models.

Responsibilities

• Oversee the GCP environment focusing on reliability.
• Design and maintain fault-tolerant applications in the cloud.
• Implement monitoring and alerting solutions for high availability.

Skills

DevOps expertise

CI/CD pipelines

Cloud deployments

GCP proficiency

Monitoring and alerts

Machine learning management

Job description

ABOUT THIS FEATURED OPPORTUNITY

The AIOps Engineer will join the Channel Sales and Operations team and work on their foundational platform, which powers a wide array of projects and provides scalable, reliable services for internal and external customers. You'll play a key role in ensuring the seamless operation and management of our cloud infrastructure, with a focus on the foundational layer that supports machine learning and AI-powered solutions.

THE OPPORTUNITY FOR YOU

You will oversee the GCP environment, including Google Kubernetes Engine (GKE) and related services, to ensure reliable operations across the platform. You will design, implement, and maintain fault-tolerant applications within the cloud to support both internal and customer-facing applications. You will establish and maintain monitoring and alerting solutions for the platform to ensure high availability, scalability, and security. You will proactively identify and troubleshoot issues within GCP infrastructure to minimize downtime and ensure optimal performance. You will develop and maintain CI/CD pipelines, manage database configurations, and maintain a stable foundation layer for multiple applications leveraging the platform. You will automate deployments and optimize processes to support continuous integration, delivery, and deployment workflows. You will ensure low-latency, high-throughput performance of deployed ML models, with a focus on scalability and efficient training/inference processes. You will collaborate with data science teams to maintain and scale models, monitor model performance, and ensure robust model management practices.

KEY SUCCESS FACTORS

• 3+ years of experience in DevOps, with expertise in CI/CD pipelines, cloud deployments, and foundational platform support for applications
• Strong proficiency in GCP, including experience with GKE, monitoring, alerts, and cloud-based full-stack applications
• 1+ years of AI Ops experience, including training and managing ML models, optimizing inference, and ensuring scalable, high-performance models

Requirements

NICE TO HAVES

• Hands-on experience with e-commerce or recommendation systems
• Experience with Generative AI solutions in real-world applications