AI Enablement & Reliability Engineering Internship

CMETS CME Technology and Support Services Ltd.

Belfast City District

Ibrido

GBP 18.000 - 24.000

Tempo pieno

5 giorni fa
Candidati tra i primi
Generatore di candidature

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Descrizione del lavoro

CME Group invites undergraduates to join its AI Enablement & Reliability Engineering placement in Belfast for a 12-month rotation. You will work with engineering teams to integrate AI-driven tooling, build automated reliability frameworks, and support high-availability financial systems.

The program offers mentorship and hands-on experience in software and reliability practices. The role emphasizes collaboration on AI tooling, system resilience, and scalable design, with a schedule requiring

Competenze

  • Two-year university in CS or equivalent required.
  • Proficient in Python, Java, or C++ with scripting/automation familiarity.
  • Foundational understanding of software reliability concepts and AI/ML principles.
  • Eligibility to work in the UK.

Mansioni

  • Ensure system performance, availability, and reliability under load with automated tests and instrumentation.
  • Collaborate on system architecture, AI tooling integration, and reliability design.
  • Assist in requirements gathering for AI enablement and resilience features.
  • Write clean code and automation scripts complying with SRE standards.
  • Identify opportunities to streamline workflows using AI-assisted tooling and automated tests.

Conoscenze

Python
Java
C++
Automation scripts
AI/ML concepts

Formazione

Two-year university in Computer Science

Strumenti

Docker
CI/CD
AWS/GCP

Descrizione del lavoro

CME Group invites undergraduates to join its AI Enablement & Reliability Engineering placement in Belfast for a 12-month rotation. You will work with engineering teams to integrate AI-driven tooling, build automated reliability frameworks, and support high-availability financial systems.

The program offers mentorship and hands-on experience in software and reliability practices. The role emphasizes collaboration on AI tooling, system resilience, and scalable design, with a schedule requiring

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