Data & AI Operations Engineer #AIDA

Powering the Future with AIDA

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

AtSingtel, this is more than a technology upgrade. It's astrategic transformationthat redefines how value is created across the enterprise core-augmenting human capabilitiesand unlocking entirely new potential. It is a transformation journey by aligningpeople, platforms, and processesunder one cohesive strategy. Our mission is to buildAI 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!