AIOps Engineer: AI-Driven Reliability & Observability

ITCAN PTE. LIMITED; Singapore; On-site; SGD 60,000 - 90,000; Full time

Job summary

ITCAN PTE. LIMITED in Singapore seeks a Data & AI Operations Engineer to apply AI, ML, and LLM-based tools to improve operational reliability and efficiency. You will collaborate with senior engineers to turn prototypes into scalable production capabilities.

The role focuses on observability, incident detection, and automation, with end-to-end responsibility for AIOps, MLOps, and LLMOps solutions in telecom-like environments. You should be hands-on, proactive, and eager to learn.

Qualifications

• Bachelor’s or Master’s degree in Computer Science or a related field.
• 1–2 year experience in Python, SQL, Apache Spark, or similar languages.
• Data Wrangling, Analysis and Visualisation.
• Containers and deployment fundamentals (Docker; Kubernetes).
• Version Control (Git).
• Testing (pytest).
• MLOps/GenAI Ops tools.
• Internships, graduate projects, hackathons, open-source contributions, or relevant work experience in Software development, Automation, AI/ML-related projects.
• Familiarity with AI / ML tooling and telco environment.

Responsibilities

• Apply AI, ML, and LLM-based tools to solve real-world operational and reliability challenges.
• Identify, prototype, and validate AI-driven improvements to day-to-day operations using clear, measurable metrics.
• Operationalise successful AI use cases into reliable, scalable, and maintainable production capabilities.
• Improve system observability, incident detection, root-cause analysis, and operational efficiency through automation and intelligence.
• Support the end-to-end lifecycle of AIOps, MLOps, and LLMOps solutions, from experimentation to production.
• Ensure operational reliability, robustness, and maintainability of AI-enabled systems.
• Collaborate closely with senior engineers and operations teams to align solutions with business and operational needs.
• Continuously evaluate emerging AI technologies and tools for practical applicability and impact.

Skills

Python

SQL

Apache Spark

Data Wrangling

Visualization

Container tech

Docker

Kubernetes

Git

Testing

MLOps/GenAI Ops

Logs/Monitoring

Cloud ML services

AI/GenAI tooling

Education

Bachelor’s or Master’s degree in Computer Science or related field

Tools

Docker

Kubernetes

Git

Databricks

Azure ML

MLFlow

Prometheus

Grafana

OpenTelemetry

Job description

ITCAN PTE. LIMITED in Singapore seeks a Data & AI Operations Engineer to apply AI, ML, and LLM-based tools to improve operational reliability and efficiency. You will collaborate with senior engineers to turn prototypes into scalable production capabilities.

The role focuses on observability, incident detection, and automation, with end-to-end responsibility for AIOps, MLOps, and LLMOps solutions in telecom-like environments. You should be hands-on, proactive, and eager to learn.