Hire AI/ML developers for your team in the United Arab Emirates

A useful developer starts with the decision or task you want to improve, then chooses a method and checks how it behaves when real users and data reach it.

• Document retrievalSplit documents into passages, create embeddings and store them in a vector database, so a model can use relevant passages and provide citations.
• Failure handlingPlan for timeouts, prompt injection and invented answers. Add fallbacks and human review where a mistake would be costly.
• Data privacyCheck what goes to an external model provider, what gets stored and who can read logs. Consider a self-hosted model when it is the safer choice.
• ToolsWork with Python and libraries such as PyTorch, scikit-learn and pandas, alongside model APIs where those fit the task.

We work remotely using video calls, WhatsApp and shared project boards. You stay close to the work and speak directly to the people building it.

1. 01

   Choose capacity

   We offer full-time, part-time and monthly hour-based arrangements. A full backlog on one product suits full time; maintenance or work that arrives in bursts suits a smaller commitment.

2. 02

   Agree the working setup

   Developers use your repository, tickets and stand-ups. We agree the hours of overlap before work begins.

3. 03

   Onboard with a real task

   Set up the environment, walk through the product and codebase, then pick a small task that touches the main parts of the system.

4. 04

   Control access

   Give each developer an individual account with only the permissions needed. Start in staging and add production access once the review process is in place.

5. 05

   Set ownership

   Keep repositories, cloud accounts and third-party services under your organisation, and confirm intellectual property assignment in the contract.

A business processing personal data needs to account for consent requirements and the rules for cross-border transfers. For an AI feature, we set up the data flow and consent capture around the intended processing, including what is sent to an external model provider.

Healthcare organisations handling data about medical services face restrictions on storing, processing or transferring that data outside the country. We set up storage and processing locations around those restrictions, and account for conditions such as consent and encryption where an exception applies.

A little preparation gives your developer useful work to start and a clear route to approval.

• Rank the backlog and describe the first tasks well enough for someone to work on them.
• Write down review rules, expected tests and how changes are deployed and approved.
• Name the person who will answer questions, and agree your working hours and the overlap you need.
• Share the architecture, coding standards, branching and release process, plus instructions for running the project locally. Record any gaps found during onboarding.