Data & AI Operations Engineer #AIDA

Singtel Group; Singapore; On-site; SGD 60,000 - 90,000; Full time

Job summary

Singtel invites applications for a role in the AIDA unit—Artificial Intelligence & Data Analytics. You will contribute to scaling AI capabilities across the enterprise, applying AI/ML/LLM tools to operational challenges, and working with senior engineers to drive measurable improvements.

The role emphasizes practical AI literacy, collaboration, and delivering production-ready solutions in a fast-paced telco environment. Join us to grow and push AI at Singtel.

Qualifications

• Bachelor’s or Master’s degree in Computer Science or a related field.
• 1–2 years of hands-on experience in Python, SQL, and data analytics.
• Familiarity with containers and deployment fundamentals (Docker; Kubernetes).
• Experience with MLOps/GenAI tools and GenAI-oriented projects.

Responsibilities

• Apply AI, ML, and LLM-based tools to solve real-world operational and reliability challenges.
• Identify, prototype, and validate AI-driven improvements with clear metrics.
• Operationalise AI use cases into scalable, maintainable production capabilities.
• Collaborate with senior engineers to align AI solutions with business needs.
• Document solutions, trade-offs, and lessons learned for reuse by teams.

Skills

Python

SQL

Apache Spark

Data Wrangling

Analysis & Visualisation

Docker

Kubernetes

Git

pytest

MLOps/GenAI Ops tools

Education

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

Tools

Databricks

Azure ML

LangFuse

LlamaGuard

Presidio

MLFlow

Job description

To lead the next phase of our AI evolution, we’ve launched a new business unit AIDA–Artificial Intelligence & Data Analytics– a strategic engine driving our transformation designed to scale our AI ambitions with precision and purpose.This marks a pivotal shift in how we operate, innovate, and serve to embed intelligence into every layer of our business.

At Singtel, this is more than a technology upgrade. It’s a strategic transformationthat redefines how value is created across the enterprise core—augmenting human capabilitiesand unlocking entirely new potential. It is a transformation journey by aligning people, platforms, and processesunder one cohesive strategy. Our mission is to build AI literacy, and foster a culture whereintelligence empowers people.

We welcome you to join uson a transformational journey that’s reshaping the telecommunications industry — and redefining what’s possible with AI at its core.Grow with usin a workplace that championsinnovation, embracesagility, and putshuman potential at the heart of everything we do.

Be a Part of Something BIG!

• 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
• Embed best practices for monitoring, governance, and responsible use of AI in operational environments

Make an Impact by:

• Explore and evaluate AI, ML, and LLM-based tools that can improve operational efficiency and visibility
• Build small proof-of-concepts or prototypes to validate ideas in operational contexts
• Measure outcomes using simple, clearly defined metrics
• Analyze logs, metrics, traces, and events to identify anomalies and automation opportunities
• Assist in deploying, monitoring, and maintaining ML or LLM-enabled solutions
• Automate repetitive operational tasks using scripts, workflows, or lightweight services
• Work with senior engineers to turn validated ideas into stable, scalable capabilities
• Document solutions, trade-offs, and lessons learned for reuse by other teams
• Stay informed on relevant AI and open-source tooling, and suggest ideas worth testing

Skills for Success:

• Bachelor’s or Master’s degree in Computer Science or a related field
• 1–2 year experience:
  • 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 / GenAI-related project
• Familiarity with:
  • Software engineering best practices, including OO/Functional design, reproducibility, and testing
  • Logs, metrics, and monitoring concepts
  • ML/GenAI tooling (LLM, RAG, LlamaGuard, Presidio, MLFlow, LangFuse etc)
  • Monitoring and observability stacks (Prometheus, Grafana, OpenTelmetry)
  • Hands-on experience with cloud ML services (Databricks, Azure ML, etc.)
• Hands-on, curious, and proactive
• Pragmatic and focused on operational impact
• Disciplined about scaling what works and discarding what doesn’t
• Collaborative and able to communicate ideas clearly
• Self-driven and proactive, comfortable working in a fast-paced environment
• Familiarity with AI and data development process in telco environment

Are you ready to say hello to BIG Possibilities?

Take the leap with Singtel to unlock new opportunities and accelerate your growth. Apply now and start your empowering career!