Internship in Innovation & Sustainability - For students in the field of Computer Science, Digi[...]

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Design and build a prototype module that ingests and normalizes logs from more than 20 microservices into a unified, queryable format Develop and train an AI model based on Roche‑specific error patterns to identify failing components and suggest likely root causes Create a proof‑of‑concept integration with Azure DevOps or Retina to automatically generate structured bug tickets with supporting log evidence Define and document a plug‑in API or interface specification that enables other Roche teams to connect their own log schemas Analyze error flows across distributed m The Position Our Global Internship Programme in Innovation & Sustainability (#IP2TIS) offers a unique opportunity for passionate individuals to gain hands‑on experience in the pharmaceutical industry while making a positive impact on the world.

The Opportunity As an intern, you will contribute to the development of an AI‑powered diagnostic engine designed to automate root‑cause analysis in complex microservice environments.

The project focuses on replacing repetitive manual log analysis with an intelligent system that can ingest, normalize, and analyze logs across the Px13 product line to identify failing components and accelerate bug assignment.

Within your first 3 months, you are expected to help deliver a log parsing prototype, an automated root‑cause analysis model, a proof‑of‑concept bug drafting integration, a plug‑in architecture design, and an evaluation report comparing manual and AI‑assisted diagnosis.