ITE Internship Oct'26 to Sep'27 - Infra Observability Engineer
Synapxe
Singapore, SingaporeInternship15 Aug 2026
About this internship
Join Synapxe as an intern and see how you can contribute in powering a healthier Singapore. Internship@Synapxe is where curiosity meets impact! You would be able to gain practical experience, hone your skills, and be part of meaningful work that improves health through technology!
We are looking for intern(s) to join our Infrastructure team, which is responsible for central log management and monitoring across all devices. Using the data collected, the team builds AI/ML models to support day-to-day operations and proactively address infrastructure issues before they escalate.
The Selected Intern(s) Will Assist In Following
Stakeholder and User Analysis
Engage with stakeholders to understand infrastructure observability needs and identify opportunities for AI/ML-driven improvements
Translate user requirements into actionable data and modelling solutions
Model Development
Prototype and develop AI/ML models to support AIOps use cases such as root cause analysis and predictive IT maintenance
Validate and refine models to ensure accuracy and operational relevance
Dashboard and Visualisation
Create dashboards using Kibana to surface meaningful insights from infrastructure data
Ensure dashboards are intuitive and useful for operational teams monitoring system health
Documentation
Assist in creating clear technical documentation to support knowledge sharing and handover
Contribute to the preparation of presentation materials to communicate findings and progress to the team
About You
Be pursuing Higher Nitec in Business Information Systems, Data Engineering, IT Systems and Networks or related discipline
Knowledge of data mining and statistical analysis techniques
Familiar with SQL/PL-SQL for database querying and data manipulation
Basic programming knowledge in Python or similar languages
Exposure to data visualisation tools, particularly Kibana or similar platforms
Familiar with ETL pipelines and data processing methodologies
Some interest or experience in AI/ML model development is an advantage
Independent, fast learner, and self-driven
Good team player with strong analytical and communication skills
Able to multitask and work effectively as part of a multidisciplinary team
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