ITE Internship Infra Observability Engineer

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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 elevate.

The selected intern(s) will assist in following:

• 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
• 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

• Create dashboards using Kibana to surface meaningful insights from infrastructure data
• Ensure dashboards are intuitive and useful for operational teams monitoring system health

• 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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