Hands-On Enterprise AI Engineer Intern

Arkham Technologies

Ciudad de México

Presencial

MXN 89.280 - 133.920

Jornada completa

14 días+

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Descripción de la vacante

Arkham Technologies invites energetic students and early-career talents to join as Forward Deployed Engineer Intern. You’ll work with senior Data Scientists and Analytics Engineers across the full data science lifecycle, from exploration to production, on real enterprise projects.

This learning-focused role emphasizes hands-on AI development, model validation, and collaboration with client implementations to build practical AI solutions in a business context.

Formación

  • Currently pursuing or recently completed a degree in Data Science, Computer Science, Engineering, Mathematics, Statistics, or a related field.
  • No professional experience required; academic projects, internships, or personal projects are a plus.
  • Foundational knowledge of Python and SQL.
  • Familiarity with basic statistics and machine learning concepts.
  • Curiosity about Generative AI, LLMs, and AI agents.
  • Eagerness to learn, strong problem‑solving mindset, and good communication skills.

Responsabilidades

  • Support the development of forecasting, optimization, clustering, and anomaly detection models, etc.
  • Assist in building Generative AI workflows and experimenting with AI Agents
  • Help prepare data, run analyses, and validate model outputs
  • Learn best practices for model monitoring, retraining, and governance
  • Collaborate with senior team members on live client implementations

Conocimientos

Python
SQL
Statistics

Educación

Data Science / Computer Science / Engineering degree

Descripción del empleo

Arkham Technologies invites energetic students and early-career talents to join as Forward Deployed Engineer Intern. You’ll work with senior Data Scientists and Analytics Engineers across the full data science lifecycle, from exploration to production, on real enterprise projects.

This learning-focused role emphasizes hands-on AI development, model validation, and collaboration with client implementations to build practical AI solutions in a business context.

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