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SHARQ

AI Engineering Intern

On-siteDubai, United Arab Emirates (On-site)Posted 6 days ago
Fast Track available

About the role

📍 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 [aman@sarq.ai]. Please mention your availability and preferred start date.

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