Data & AI Operations Engineer #AIDA

Singapore Telecommunications Limited; Singapore; On-site; SGD 80,000 - 120,000; Full time

Job summary

Singtel invites you to join the AIDA unit—Artificial Intelligence & Data Analytics—to accelerate the next phase of our AI evolution across networks and services.

In this role you will apply AI/ML and data analytics to real-world operational challenges, prototype innovative solutions, and measure outcomes with clear metrics. You will work with senior engineers to deploy scalable, observable AI-driven capabilities that improve reliability and efficiency.

Qualifications

• Bachelor’s or Master’s degree in CS or related field.
• Experience with AI/ML model development and data pipelines.
• Strong Python programming and SQL skills.
• Familiarity with MLOps concepts and cloud ML services.

Responsibilities

• Apply AI, ML, and LLM tools to real-world operational challenges.
• Prototype AI-driven improvements with measurable metrics.
• Operationalize use cases into production-ready capabilities.
• Improve observability, incident detection, and automation.
• Collaborate with engineers to align solutions with business needs.

Skills

Python

SQL

Apache Spark

Data Wrangling

Data Visualisation

Docker

Kubernetes

Git

Testing

MLOps

Education

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

Tools

Databricks

Azure ML

MLFlow

LangFuse

Prometheus

Grafana

OpenTelemetry

Job description

Powering the Future with AIDA

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 transformation that redefines how value is created across the enterprise core— augmenting human capabilities and unlocking entirely new potential. It is a transformation journey by aligning people, platforms, and processes under one cohesive strategy. Our mission is to build AI literacy, and foster a culture where intelligence empowers people.

We welcome you to join us on a transformational journey that’s reshaping the telecommunications industry — and redefining what’s possible with AI at its core. Grow with us in a workplace that champions innovation, embraces agility, and puts human 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?