Data & AI Operations Engineer

Singapore Telecommunications · Singapore

Sector
AI
Function
Product & Engineering
Level
Mid-Level
Employment type
Full Time
Posted
2026-07-01
Source
mycareersfuture

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 challengesIdentify, prototype, and validate AI-driven improvements to day-to-day operations using clear, measurable metricsOperationalise successful AI use cases into reliable, scalable, and maintainable production capabilitiesImprove system observability, incident detection, root-cause analysis, and operational efficiency through automation and intelligenceSupport the end-to-end lifecycle of AIOps, MLOps, and LLMOps solutions, from experimentation to productionEnsure operational reliability, robustness, and maintainability of AI-enabled systemsCollaborate closely with senior engineers and operations teams to align solutions with business and operational needsContinuously evaluate emerging AI technologies and tools for practical applicability and impactEmbed best practices for monitoring, governance, and responsible use of AI in operational environmentsMake an Impact by:Explore and evaluate AI, ML, and LLM-based tools that can improve operational efficiency and visibilityBuild small proof-of-concepts or prototypes to validate ideas in operational contextsMeasure outcomes using simple, clearly defined metricsAnalyze logs, metrics, traces, and events to identify anomalies and automation opportunitiesAssist in deploying, monitoring, and maintaining ML or LLM-enabled solutionsAutomate repetitive operational tasks using scripts, workflows, or lightweight servicesWork with senior engineers to turn validated ideas into stable, scalable capabilitiesDocument solutions, trade-offs, and lessons learned for reuse by other teamsStay informed on relevant AI and open-source tooling, and suggest ideas worth testingSkills for Success: Bachelor’s or Master’s degree in Computer Science or a related field1 to 2 years 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 toolsInternships, graduate projects, hackathons, open-source contributions, or relevant work experience in, Software development, Automation, AI / ML / GenAI-related projectFamiliarity 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 proactivePragmatic and focused on operational impactDisciplined about scaling what works and discarding what doesn’tCollaborative and able to communicate ideas clearlySelf-driven and proactive, comfortable working in a fast-paced environmentFamiliarity with AI and data development process in telco environmentAre 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!

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