About the Job:
The Story So Far:
The company is one of the leading property technology companies in EMEA. Launched in 2020, we now operate in multiple cities across the UAE and Spain, with plans to expand into Saudi Arabia and three more European markets by 2026. We own the largest portion of the UAE mortgage market and are among the fastest-growing players in every European city we've entered. With over $140 million raised from top investors like Sequoia Capital, Founders Fund, and Balderton Capital, we are reshaping the homebuying journey through powerful technology and agent-first tools. Our SuperApp empowers real estate agents and mortgage brokers, transforming property transactions to be faster, smarter, and better for everyone.
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The Main Event: What You’ll Drive, Build, and Own:
- Real Estate Market Modeling: Build models addressing challenges such as valuation/pricing using techniques from classic supervised ML to more advanced approaches.
- Multimodal Embeddings: Create vector representations of real estate entities combining images, text, and structured attributes to enhance search, matching, deduplication, or recommendations.
- Data Analysis & Experimentation: Utilize SQL/Python to extract, clean, and analyze data, designing experiments and evaluating model-product impact with robust metrics.
- Model Operationalization: Deploy models to production with capabilities like monitoring, automated rollout, or CI/CD (in partnership with engineering).
- Cross-functional Delivery: Collaborate with product, engineering, and operations teams to translate business problems into scalable ML solutions.
The Perfect Match: What It Takes to Succeed at the company:
- Proven Experience: 4–8 years in applied data science/ML, delivering models that impact real-world KPIs.
- SQL & Python Mastery: Strong proficiency in frameworks such as Pandas, NumPy, and Scikit-learn, with the ability to build reliable data pipelines, model training, and evaluation.
- MLOps Fundamentals: Experience deploying and maintaining models (batch or real-time), versioning, CI/CD basics, observability, and reproducible training.
- Communication & Ownership: Ability to communicate clearly with both technical and non-technical stakeholders; skilled in scoping, prioritizing, and explaining trade-offs.
- Comfortable with Uncertainty: Able to navigate data quality issues, leakage risks, and market dynamics (location, seasonality, inventory shifts).
Nice to Have:
- Software engineering experience; multimodal/vision experience; voice AI (ASR/NLU) exposure.
- Academic Background: Bachelor’s in STEM (Master’s a plus).
Location: Abu Dhabi, Abu Dhabi Emirate, United Arab Emirates
Work Conditions: On-site, Full-time
By submitting this application, I agree that my personal data will be collected, processed, and retained by the company solely for the purposes of managing and assessing my candidacy.
