الوصف الوظيفي
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 ToHead of AI & Data ScienceSummaryWe 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 at Property Finder. The ideal candidate will have a strong foundation in building scalable ML pipelines, deploying production-ready models, and applying advanced data science techniques to derive actionable insights that support strategic business initiatives. You will work on impactful projects in areas like predictive modeling, personalization, real-time AI systems, and scalable deployment pipelines, collaborating with cross-functional teams to drive innovation and operational efficiency.Key ResponsibilitiesMachine Learning Engineering / MLOps (MLE/MLOps Level III or IV):Design and implement scalable ML pipelines, ensuring efficient model training, deployment, and monitoring.Optimize distributed training processes for large datasets and complex models.Automate workflows using CI/CD pipelines, workflow orchestration tools (e.g., Airflow, Kubeflow), and MLOps best practices.Develop robust systems for real-time inferencing and edge AI deployment.Monitor, troubleshoot, and improve production models for performance and reliability.Data Science (Level II):Build and fine-tune ML models for business applications, including customer segmentation, personalization, and forecasting.Conduct advanced feature engineering and data wrangling to prepare high-quality datasets for modeling.Collaborate with stakeholders to understand business needs and translate them into data-driven solutions.Analyze large datasets to generate actionable insights and recommendations.Contribute to A/B testing and experimental designs to validate model performance.Cross-Team Collaboration:Work closely with the Data Science, Engineering, and Product teams to align on project objectives and ensure smooth deployment of solutions.Partner with MLE/MLOps peers to integrate models into production systems and optimize end-to-end pipelines.The PersonDesired QualificationsBachelor’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).Advanced SQL skills for data extraction and manipulation.Hands-on experience with cloud platforms (AWS, GCP, Azure) and big data technologies (e.g., Spark).Expertise in CI/CD pipelines, version control, and model monitoring.Knowledge of statistical analysis and intermediate ML algorithms (e.g., decision trees, ensemble methods).Experience in supervised and unsupervised learning algorithms (e.g., decision trees, clustering, ensemble methods).Experience in advanced feature engineering and data preprocessing techniques.Familiarity with deep learning frameworks like TensorFlow or PyTorch.Working knowledge of statistical analysis, hypothesis testing, and experiment design.Proficiency in creating complex reports and dashboards for actionable insights.Strong problem-solving and analytical abilities.Effective communication skills to explain technical concepts to non-technical stakeholders.Ability to work collaboratively in cross-functional teams.Our promise to talentWe 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 PrinciplesMove fast and make things happenData beats opinionsDon’t confuse motion with progressFailure is success if we learn from itPeople over pixelsFind us at:TwitterFacebookInstagramLinkedinGlassdoor
