Founded by Michael Lahyani in 2005 as a magazine (Al Bab World), Property Finder today is a single technology platform and brand across multiple countries in the MENA region. We offer the most advanced tools and best-in-class user experience for homeseekers, real estate brokers, and developers. Property Finder's most recent valuation secures our status among the Middle East's emerging unicorns, affirming a growth-oriented identity.
Over the years, we've expanded our operations to Bahrain, Egypt, Qatar, Saudi Arabia, and secured a strategic shareholding in Hepsiemlak, the leading property portal in Turkey. With over 600+ dedicated people in 6 regional offices, we facilitate more than 14 million monthly visits across our platforms, solidifying our position as a regional powerhouse in the proptech space.
As the pioneering portal for homeseekers in the region, we are on a mission to motivate and inspire people to live the life they deserve.
Reports To
Head of AI & Data Science
Summary
We are looking for a skilled professional with expertise in Machine Learning Engineering (MLE Level II) and Data Science (Level II) to join our AI & Data Science team at Property Finder. This role will focus on developing and deploying advanced AI solutions using Generative AI, Large Language Models (LLMs), and transformer-based models to drive personalisation, automation and innovation across our platforms. The ideal candidate will have a strong foundation in machine learning, practical experience with transformer architectures, and the ability to collaborate across teams to deliver impactful AI-driven solutions.
Join a forward-thinking team at the forefront of innovation, working on cutting-edge projects that leverage GenAI and Large Language Models (LLMs) to transform the real estate experience. Be part of a collaborative and dynamic environment that values continuous learning, technical excellence, and teamwork. With exposure to advanced AI technologies and challenging projects, you'll have the opportunity to grow professionally and make a meaningful impact in an ever-evolving industry.
Key Responsibilities- Deep understanding and working knowledge of deep learning and neural networks architectures
- Design, fine-tune, and deploy Large Language Models (LLMs) and generative models tailored to business needs.
- Develop applications using transformer-based architectures such as GPT, BERT, T5, or similar frameworks.
- Implement use cases in personalization, content creation, and workflow automation using Generative AI.
- Optimize LLM performance for inference in real-time or large-scale production environments.
- Conduct research and experimentation to identify improvements in GenAI and LLM applications.
- Build and maintain scalable ML pipelines to deploy LLMs and generative models efficiently.
- Develop workflows for fine-tuning and serving transformer models in production.
- Automate the deployment process using MLOps tools (e.g., Kubernetes, MLflow, Docker).
- Optimize data pipelines and feature engineering processes to support transformer-based models.
- Build and implement ML models for predictive analysis and personalization.
- Collaborate with cross-functional teams to generate actionable insights and support business strategies.
- Conduct data wrangling, feature engineering, and advanced statistical analysis.
- Design and evaluate experiments (e.g., A/B testing) to validate model performance.
- Partner with the GenAI team to align model development with business goals.
- Work closely with MLE and Data Science teams to ensure seamless integration of LLMs and generative solutions into production workflows.
- Collaborate with the Futurism team to explore cutting-edge AI applications and opportunities for LLMs.
The Person
Desired Qualifications
- Bachelor’s or Master’s degree in Computer Science, Machine Learning, Data Science, or a related field.
- 2+ years of experience in machine learning engineering and data science roles, with 2+ years hands-on experience in transformers, LLMs and generative models.
- Proficiency in fine-tuning and deploying transformer models (e.g., GPT, BERT, T5).
- Familiarity with tools like Hugging Face Transformers, OpenAI APIs, and LangChain.
- Expertise in prompt engineering and domain-specific fine-tuning of LLMs.
- Knowledge of attention mechanisms and sequence-to-sequence modeling.
- Strong experience with ML pipelines and MLOps tools (e.g., Kubernetes, Docker, MLflow).
- Advanced SQL and Python programming skills.
- Familiarity with cloud platforms (AWS, GCP, Azure) for scalable deployments.
- Intermediate experience with supervised and unsupervised learning algorithms.
- Proficiency in data wrangling and feature engineering.
- Knowledge of statistical analysis and hypothesis testing.
- Strong analytical and problem-solving abilities.
- Effective communication skills to collaborate with cross-functional teams.
- Adaptability to work in a fast-paced, dynamic environment.
Our promise to talent
We encourage our people, called creators, to move fast, to be bold and offer them countless ways to make an impact in a fast-growing and talent-centric organisation.
Our goal is to ensure that our people find their time at Property Finder a rewarding experience where the company’s growth also means personal growth.
Overall it is a place for you to be your best self.
Property Finder Principles
- Move fast and make things happen
- Data beats opinions
- Don’t confuse motion with progress
- Failure is success if we learn from it
- People over pixels
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