AI Engineering Intern: Arabic ML Pipelines & Production

SHARQ

Dubai

Híbrido

AED 20 000 - 33 000

Tempo integral

há 42 horas
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Vantagens oferecidas por esta oferta de emprego

Paid internship
Hybrid work (Dubai)
Strong reference / possible full-time

Resumo da oferta

Sharq, Dubai's early-stage AI company, offers a paid internship with mentorship from the founders. You’ll work on real systems, building data pipelines for processing, fine-tuning, and evaluating LLMs with a focus on Arabic use cases.

You’ll contribute to internal tools and APIs, join customer discussions, and gain hands-on production engineering exposure in a growing enterprise-focused team. Hybrid in-office work in Dubai supports flexible university schedules.

Qualificações

  • Currently pursuing (or recently completed) a degree in Computer Science, Engineering, Data Science, or a related field
  • Strong Python skills and a solid grasp of programming fundamentals

Responsabilidades

  • Build and test data pipelines for processing, fine-tuning, and evaluating LLMs, focusing on Arabic and regional use cases
  • Contribute to internal tools, APIs, and demos used with enterprise clients
  • Research and benchmark open-source models and frameworks, and share what you find with the team
  • Write clean, documented code and learn production engineering practices from the founding team
  • Join customer and product discussions to see how AI gets deployed in regulated industries

Conhecimentos

Python
Programming fundamentals

Formação académica

CS/Engineering/Data Science degree (pursuing or completed)

Ferramentas

PyTorch
Hugging Face
LangChain
Docker
GitHub

Descrição da oferta de emprego

Sharq, Dubai's early-stage AI company, offers a paid internship with mentorship from the founders. You’ll work on real systems, building data pipelines for processing, fine-tuning, and evaluating LLMs with a focus on Arabic use cases.

You’ll contribute to internal tools and APIs, join customer discussions, and gain hands-on production engineering exposure in a growing enterprise-focused team. Hybrid in-office work in Dubai supports flexible university schedules.

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