Intern - AI Platform & DevOps Engineer
Introduction
BM CIO - Technology Platform Transformation (TPT) is a strategic organization responsible for modernizing IBM's technology platforms and operating model, with AI at the core.
Exemplify best-in-class IT - measured by first-quartile cost/performance across platforms.
AI-first digital experience - measured by platform productivity and the autonomous completion of tasks and requests.
* Be Client Zero - measured by quantifiable value realized from IBM products and actionable feedback to product teams.
AI, Automation & Data Platform (AADP) provides every IBMer with the strategic watsonx platform, boosting productivity by infusing AI into everyday workflows.
What You'll Gain:Hands-on experience working with IBM's cutting-edge solutions such as GenAI (watsonx.ai platform and LLM technologies), vector databases (watsonx.data), automation tools (Watson Orchestrate) and many others.Enhance your programming skills, critical thinking and problem solving.Exposure to real-world challenges in AI orchestration, automation, and business-driven development.Opportunity to work in a highly dynamic environment with leading experts in AI, automation, and data platforms.Networking opportunities within IBM's global business and technology ecosystem
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Your role and responsibilities
We are seeking enthusiastic, driven interns to join IBM CIO's AI, Automation & Data Platforms (AADP) team. As an intern, you will develop automations that streamline onboarding to IBM's watsonx platforms and related services, delivering an exceptional user experience. Your work will help internal IBM teams stand up development environments faster and deliver projects that boost productivity.
Key Responsibilities:
Developing and maintaining Python-based microservices and automations (i.e. Terraform) that integrate with the watsonx platform and related services (e.g., watsonx.ai, watsonx.data, Milvus, Cloud Pak for Data).Improving onboarding and self-service experiences (e.g., OnBoard AI) through tooling, automation, and documentation.Research, evaluate, and recommend AI services that improve the AI Delivery team's solution quality, speed, and business impact.Participate in platform operations: incident triage, troubleshooting, root-cause analysis, and SLO reporting; keep runbooks up to date.
Required education
None
Preferred education
Bachelor's Degree
Required technical and professional expertise
Currently pursuing a degree in Computer Science, Data Science, Math, or a related technical field.Experience with Python programming skills.Understanding of what APIs are and how they work.Basic understanding of AI models (especially large language models) and hands-on experience with AI tools is a plus.Ability to break down problems and explain solutions clearly.Good communication skills and eagerness to learn.knowledge with data platforms, integration of data sources, or cloud-based environments is a bonus.
ABOUT BUSINESS UNIT
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