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Career Opportunity: Head of Applied AI & Data Intelligence at Synolon

Head of Applied AI Job in Dubai - Global Real Estate Tech (Synolon)

Synolon is an international technology and infrastructure firm that designs, builds, and operates global digital platforms. The company is now building its most ambitious venture: a ground-up, large-scale Global Real Estate Platform designed for worldwide reach and massive scalability from day one. This project, with its leadership and core tech team based in Dubai, positions AI not as an add-on but as the core architectural foundation for intelligent data processing and decision-making on a global scale.

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Position Overview: Head of Applied AI & Data Intelligence

Synolon is seeking a senior, hands-on technical leader to become the Head of Applied AI & Data Intelligence for its flagship real estate platform. This is a foundational role for a professional who excels at architecting, building, and shipping production-grade AI systems. You will own the entire AI/ML pipeline—from designing models for complex data challenges like entity resolution and anomaly detection to deploying and operating them in a live, data-intensive environment. This is a rare opportunity to build the AI core of a platform with true global ambition from its inception in Dubai.

Key Responsibilities

As the AI technical lead, you will own and drive the following:

  • AI/ML Architecture & Strategy: Design and scale end-to-end, robust AI/ML systems that serve as the intelligent backbone for the global platform.
  • Model Development & Deployment: Build, train, and deploy production models for critical functions like entity resolution, data normalization, validation, and anomaly detection across large, complex datasets.
  • Production Ownership: Take full operational responsibility for AI systems in production, ensuring reliability, performance, and scalability.
  • Cross-functional Leadership: Collaborate deeply with backend, data engineering, and product teams to integrate AI capabilities seamlessly into the platform’s architecture.

Candidate Requirements (Mandatory)

Requirement CategorySpecific Qualification
Core ExperienceMinimum 4+ years of strong, hands-on experience in Machine Learning and Applied AI, with a proven track record of shipping AI systems to production.
Technical ProficiencyExpert proficiency in Python and core ML frameworks (PyTorch, TensorFlow, scikit-learn).
Data & Systems MindsetExtensive experience working with large-scale, structured, and semi-structured datasets. A strong system design and architectural mindset is essential.
LocationMust be currently residing in Dubai, UAE.

Preferred Candidate Profile (Nice-to-Have)

The ideal candidate will also bring expertise in one or more of the following advanced areas:

  • LLM & Advanced AI: Practical experience with Large Language Models (LLMs), including RAG (Retrieval-Augmented Generation), embeddings, and agentic systems.
  • Knowledge Systems: Background in knowledge graphs, advanced search algorithms, or ranking systems.
  • Domain Complexity: Experience in building AI for trust, verification, or compliance-heavy platforms where data accuracy is paramount.

Ideal Candidate Profile

We are looking for a leader who is:

  • “builder” and “shipper” first, with deep technical hands-on skills and a passion for solving complex data problems with scalable AI solutions.
  • Strategically minded but execution-focused, capable of designing robust architectures and then leading the team to implement them.
  • Thrives in ambiguity and scale, excited by the challenge of building core systems for a platform designed to operate globally from day one.
  • collaborative force multiplier, able to work closely with elite engineering teams to turn ambitious vision into technical reality.

Frequently Asked Questions (FAQs)

1. How senior is this “Head of” role? Is it managerial or hands-on?

This is primarily a deeply hands-on, technical leadership role. You are expected to be the top AI architect and builder. While it may involve guiding others, the core requirement is individual technical contribution and system ownership.

2. What does “production-grade AI systems” mean in this context?

It means building, deploying, and maintaining AI models that run 24/7 in a live user-facing platform, processing real data, requiring monitoring, iteration, and a focus on reliability, not just experimental Jupyter notebooks.

3. What is the scale of data involved?

The platform is being built for global scale from day one. You will be working with large-scale, heterogeneous datasets typical of a worldwide real estate listing platform, demanding efficient and intelligent processing.

4. Is LLM experience mandatory?

No, it is a “Nice to Have.” The core requirement is proven experience in traditional and applied ML (supervised/unsupervised learning, etc.) for production systems. However, experience with LLMs/RAG is a significant advantage for future-facing development.

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