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Founded by Michael Lahyani in 2005 as a magazine (Al Bab World), Property Finder has evolved into a leading technology platform across the MENA region. We provide advanced tools and exceptional user experiences for homeseekers, real estate brokers, and developers. Our recent valuation affirms our position among the Middle East's emerging unicorns and showcases our commitment to growth.
We are seeking a highly skilled professional with expertise in Machine Learning Engineering (MLE/MLOps Level III or IV) and Data Science (Level II) to join our innovative AI & Data Science team. The ideal candidate will possess a robust foundation in building scalable ML pipelines, deploying production-ready models, and applying advanced data science techniques to derive actionable insights that support strategic initiatives. You will be involved in impactful projects related to predictive modeling, personalization, real-time AI systems, and scalable deployment pipelines, while collaborating with cross-functional teams to drive innovation and efficiency.
Key Responsibilities:
- Machine Learning Engineering / MLOps: Design and implement scalable ML pipelines; optimize distributed training processes for large datasets; and automate workflows.
- Data Science: Build and fine-tune ML models for business applications; conduct feature engineering and data wrangling; and analyze large datasets to generate actionable insights.
- Cross-Team Collaboration: Work closely with Data Science, Engineering, and Product teams to ensure smooth project deployment.
Desired Qualifications:
- Bachelor’s or Master’s degree in Computer Science, Data Science, Machine Learning, or a related field.
- At least 4+ years of experience in MLE/MLOps roles and 2+ years in data science roles.
- Proficiency in Python and ML libraries (e.g., Scikit-learn, TensorFlow, PyTorch).
- Strong experience with MLOps tools (e.g., Kubernetes, Docker, MLflow) and cloud platforms (AWS, GCP, Azure).
- Advanced SQL skills, expertise in CI/CD pipelines, version control, and model monitoring.
- Knowledge in statistical analysis and various ML algorithms, both supervised and unsupervised.
- Effective communication skills and a collaborative mindset.
Language Requirements: Not specifically mentioned but proficiency in English is typically expected in an international workplace.
Join Property Finder to be part of a dynamic team that encourages innovation and offers numerous opportunities for personal and professional growth. We value our creators and aim to create a rewarding experience where growth correlates with your development.
