About this role
The intern will build an AI-driven operations ecosystem focusing on anomaly detection, automated incident triage, and LLM-powered tools. Key tasks include enhancing ML models, creating real-time visualization dashboards, and developing agentic database chatbots.
Candidates should be pursuing a degree in Computer Science, Data Science, or a related field. Basic proficiency in Python, statistics, unsupervised machine learning, and general observability concepts is required.
What they're looking for
Unsupervised Machine LearningObservabilityPythonAIOpsFull-Stack ObservabilitySemantic SearchData VisualizationAnomaly Detection
Frequently asked questions
What does a Internship - Site Reliability Engineering at Infineon do?
The intern will build an AI-driven operations ecosystem focusing on anomaly detection, automated incident triage, and LLM-powered tools. Key tasks include enhancing ML models, creating real-time visualization dashboards, and developing agentic database chatbots. Candidates should be pursuing a degre…
What skills does this Internship - Site Reliability Engineering role need?
Key skills for this role include Unsupervised Machine Learning, Observability, Python, AIOps, Full-Stack Observability, Semantic Search.
How much does a Internship - Site Reliability Engineering at Infineon pay?
The employer did not list a salary for this role. Most similar Singapore roles publish their band on the job page.
Is this Internship - Site Reliability Engineering role remote, hybrid, or on-site?
This role is on-site, based in Singapore.
How do I apply for this Internship - Site Reliability Engineering role?
You can apply directly on Infineon's careers page. ApplyLah can tailor your résumé and cover letter to this exact role in seconds first.