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Data & AI Operations Engineer #AIDA

Singapore Full-time AI Operations Manager
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Original posting on LinkedIn

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?

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

Listing structured with AI support from LinkedIn. Always confirm the conditions with the company before applying.
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This is a ai operations manager position on a full-time basis in Singapore. The exact schedule and conditions are in the original posting from the company.

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