
Senior Data
2 weeks ago
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Senior Data & AI Operations Engineer- #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
Responsible for designing, implementing, and managing ML/GenAI operations tools and workflows
Oversee stability of ML training and GenAI services on day-to-day basis
Develop and execute incident handling and recovery plans for ML/GenAI
Plan and implement data quality and lineage tracking solutions
Handle data governance discussion and policies
Make an Impact by:
Evaluate, select, and implement MLOps/LLMOps tools (e.g., MLflow, Kubeflow, LangSmith, LangFuse)
Integrate tools with existing cloud platform services and DevSecOps processes
Manage versioning, lineage, and reproducibility of models, datasets, and prompts
Implement monitoring for data drift, concept drift, and model performance
Set up dashboards for latency, throughput, GPU utilization, and inference quality metrics
Develop alerting and incident response playbooks for model-related issues
Manage prompt libraries and evaluation frameworks
Integrate moderation, guardrails, and bias/fairness checks into model pipelines
Build automated data quality pipelines that run alongside model training workflows
Establish and enforce data lineage tracking
Ensure datasets used for ML/GenAI meet internal compliance, regulatory, and ethical standards
Requirements:
Bachelor’s or Master’s degree in Computer Science or a related field
3 years experience with MLOps tools
1 year experience with GenAI Ops tools
Hands-on experience with cloud ML services (Databricks, Azure ML, etc.)
Familiarity with GenAI tooling (LLM, RAG, etc.) and guardrail tooling (LlamaGuard, Presidio, etc.)
Capable in ML and GenAI Ops tooling (MLFlow, LangFuse, etc.)
Familiarity with monitoring and observability stacks (Prometheus, Grafana, OpenTelmetry)
Analytical and pragmatic, with the ability to interpret governance principles into implementation plans
Clear communicator who can explain complex technical risks and solutions to non-technical stakeholders
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
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