Job Description
Job Description
The AI Intern will support teams with a primary focus on organization, AI workflow development: Creating, testing, and iterating on AI-powered automations and agents. Throughout the internship, you will engage in meaningful operational projects, attend lunch ‑ and ‑ learn sessions with internal stakeholders, participate in networking activities, and contribute to project showcases that highlight your work.
Key Responsibilities
- AI workflow development: Creating, testing, and iterating on AI-powered automations and agents.
- Monitoring and anomaly detection: Implementing and maintaining AI-driven tools to monitor infrastructure performance, detect anomalies, and reduce alert fatigue.
- Data analysis and preparation: Analyzing large operational datasets and preparing or annotating data to train or refine AI models.
- Documentation and process improvement: Mapping existing manual workflows, documenting new AI processes, and updating playbooks.
- Performance evaluation: Testing prototypes for accuracy, investigating root causes of issues, and tracking operational KPIs.
Required Technical Skills
- Technical Skills: Basic scripting or programming proficiency (Python, JavaScript, Go).
- AI Familiarity: Knowledge of prompt engineering, LLMs, and foundational machine learning concepts.
- Tools and Platforms: Familiarity with or interest in learning observability tools, cloud platforms or automation platforms.
- Soft Skills: Strong problem-solving, attention to detail, proactive “builder” mindset, and the ability to collaborate with cross-functional teams.
Education:
- Currently pursuing a degree in Computer Science, Data Science, AI, IT, or a related field.
- Prior experience with AI projects (personal, academic, or Kaggle competitions).
Are you interested in this position?
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