SHARQ
AI Engineering Intern
About the role
๐ Dubai, UAE ยท Hybrid ยท Internship ([3 to 6] months) ยท 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 [aman@sarq.ai]. Please mention your availability and preferred start date.
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