About the Job:
The company is one of the leading property technology companies in EMEA, launched in 2020. We currently operate in multiple cities across the UAE and Spain, with plans to expand into Saudi Arabia and three more European markets by 2026. We have established a significant presence in the UAE mortgage market and are among the fastest-growing players in every European city we’ve entered.
Having raised over $140 million from top investors, we are reshaping the homebuying journey through powerful technology and agent-first tools. Our SuperApp empowers real estate agents and mortgage brokers, bringing cutting-edge technology to one of the most traditional industries.
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Key Responsibilities:
- Real Estate Market Modeling: Build models addressing challenges like valuation and pricing utilizing techniques from classic supervised machine learning to advanced approaches.
- Multimodal Embeddings: Create vector representations of Real Estate entities, encompassing images, text, and structured attributes to enhance search, matching, deduplication, or recommendations.
- Data Analysis & Experimentation: Employ SQL/Python to extract, clean, and analyze data; design experiments and evaluate the model-product impact with robust metrics.
- Model Operationalization: Deploy models into production with features like monitoring, automated rollout, or CI/CD in collaboration with engineering.
- Cross-functional Delivery: Work with product, engineering, and operations teams to translate business problems into scalable ML solutions.
Qualifications:
- Proven Experience: 4–8 years in applied data science/machine learning, successfully delivering models that influence real-world KPIs.
- Technical Skills: Proficiency in SQL and Python, with strong knowledge of frameworks such as Pandas, NumPy, and Scikit-learn; capable of building reliable data pipelines and evaluating models.
- MLOps Fundamentals: Familiarity with deploying and maintaining models (both batch and real-time), handling CI/CD, observability, and ensuring reproducible training.
- Communication: Ability to effectively communicate with both technical and non-technical stakeholders, including scoping, prioritizing, and explaining tradeoffs.
- Problem-Solving: Comfortable navigating uncertainty, data quality issues, leakage risks, and market dynamics (location, seasonality, inventory shifts).
Nice to Have:
- Experience in software engineering, multimodal or vision applications, and voice AI (ASR/NLU).
- Academic Background: Bachelor’s in STEM (Master’s preferred).
Work Conditions: On-site, Full-time
Location: Dubai, Dubai, United Arab Emirates
