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Dubai, UAE
2026-10-13
SHARQ
English
Middle East
AI Engineering Intern
Role Description
📍 Dubai, UAE · Hybrid · Internship ([3 to 6] months) · Sharq
**About Sharq**
Sharq builds sovereign, specialist AI for enterprises and governments across the GCC and MENA. We post-train and serve models tailored to the region’s languages, regulations, and infrastructure, so banks, telecoms, insurers, and public-sector organisations can deploy AI they actually control, on their own terms and inside their own borders.
We’re an early-stage team, which means as an intern you’ll do real work on real systems, not side projects.
**What you’ll do**
* Help build and test pipelines for data processing, fine-tuning, and evaluation of LLMs, with a focus 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
**What we’re looking for**
* 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
* Familiarity with machine learning or LLMs through coursework, projects, hackathons, or open-source contributions
* Curiosity, initiative, and the ability to learn quickly in a fast-moving environment
* Clear communication and a willingness to ask questions
**Nice to have**
* Experience with PyTorch, Hugging Face, LangChain, or similar tools
* Exposure to cloud platforms or Docker
* Arabic language skills
* A GitHub profile or portfolio showing things you’ve built
**What we offer**
* [Paid] internship with hands-on mentorship from the founders
* Hybrid setup: [3] days a week in our Dubai office
* Real responsibility and visible impact at an early-stage AI company
* A strong reference and the potential for a full-time offer for outstanding interns
* [Flexible hours around university schedules, other perks]
**How to apply**
Apply via LinkedIn, or send your CV and a link to a project you’re proud of to
**[**
**[email protected]**
**]**
. Please mention your availability and preferred start date.
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