Ai Engineer

The Story So Far: We’re Building a Global Brand in Real EstateHuspy is one of the leading property technology companies in EMEA.Launched in **, we now operate in multiple cities across the UAE and Spain, expanding into Saudi Arabia and 3 more European markets by **.Today, we own the largest portion of the UAE mortgage market and are one of the fastest-growing players in every European city we’ve entered.We’ve raised over $140 million (Series A and Series B) from the world’s top investors, including Sequoia Capital, Founders Fund and Balderton Capital, to reshape the homebuying journey through powerful technology and agent-first tools.We’ve built a SuperApp that empowers real estate agents and mortgage brokers, bringing cutting?edge technology to one of the world’s most traditional industries.We’re transforming how property transactions happen - faster, smarter, and better for everyone.We’re not slowing down.The question is: will you be part of what’s next?The Main Event: What You’ll Drive, Build, and OwnYou will be working closely with Product, Data, and Engineering teams responsible for developing and enhancing AI-powered solutions across our Real Estate Agent Platform and Mortgage Broker Portal.You’ll leverage modern machine learning technologies and cloud infrastructure to build intelligent, data-driven products in an innovative and collaborative environment.Tech stack:Python, PostgreSQL, AWS, FastAPIHands-On Engineering:Contribute to the development, deployment, and optimisation of machine learning models and AI-driven services.Take ownership of key technical deliverables while leading by example in engineering best practices.Machine Learning Excellence:Drive best practices in machine learning development, including data preparation, feature engineering, model training, evaluation, deployment, and monitoring.Ensure solutions are scalable, reliable, and maintainable in production environments.Stakeholder Collaboration:Work closely with Product, Data, Design, and Engineering teams to identify opportunities for AI-driven innovation, translate business requirements into technical solutions, and deliver measurable impact.The Perfect Match: What It Takes to Succeed at HuspyAI/ML Engineering Experience:Strong technical background in Python and machine learning, with a passion for building intelligent products and solving complex data-driven challenges.Product-Focused Mindset:Ability to work cross-functionally and collaborate with Product, Data, and Engineering teams to deliver impactful AI-powered solutions that enhance customer experiences and business outcomes.Technical Expertise:Experience developing and deploying machine learning models using Python and modern ML frameworks.Strong knowledge of data processing, model lifecycle management, APIs, CI/CD, cloud platforms (AWS preferred), and production-grade software engineering practices.Experience in AI development practices and tools is a must-have.Data & Machine Learning Knowledge:Experience working with structured and unstructured data, feature engineering, model evaluation, experimentation, and performance optimisation.Familiarity with MLOps practices and model monitoring is highly desirable.Collaborative Attitude:Excellent communication skills with the ability to explain technical concepts to both technical and non-technical stakeholders while fostering an inclusive, engaging team environment.Work Setup:Hybrid in Dubai or Madrid, remote anywhere in the EU.Or we offer relocation support to Dubai, if preferred.#J-*****-Ljbffr

Strong technical background in Python and machine learning, with a passion for building intelligent products and solving complex data-driven challenges. Product-Focused Mindset: Ability to work cross-functionally and collaborate with Product, Data, and Engineering teams to deliver impactful AI-powered solutions that enhance customer experiences and business outcomes. Technical Expertise: Experience developing and deploying machine learning models using Python and modern ML frameworks. Strong knowledge of data processing, model lifecycle management, APIs, CI/CD, cloud platforms (AWS preferred), and production-grade software engineering practices. Experience in AI development practices and tools is a must-have. Data & Machine Learning Knowledge: Experience working with structured and unstructured data, feature engineering, model evaluation, experimentation, and performance optimisation. Familiarity with MLOps practices and model monitoring is highly desirable. Collaborative Attitude: Excellent communication skills with the ability to explain technical concepts to both technical and non-technical stakeholders while fostering an inclusive, engaging team environment. Work Setup: Hybrid in Dubai or Madrid, remote anywhere in the EU. Or we offer relocation support to Dubai, if preferred. #J-*****-Ljbffr

Madrid, España

The Story So Far: We’re Building a Global Brand in Real Estate Huspy is one of the leading property technology companies in EMEA. Launched in **, we now operate in multiple cities across the UAE and Spain, expanding into Saudi Arabia and 3 more European markets by **. Today, we own the largest portion of the UAE mortgage market and are one of the fastest-growing players in every European city we’ve entered. We’ve raised over $140 million (Series A and Series B) from the world’s top investors, including Sequoia Capital, Founders Fund and Balderton Capital, to reshape the homebuying journey through powerful technology and agent-first tools. We’ve built a SuperApp that empowers real estate agents and mortgage brokers, bringing cutting?edge technology to one of the world’s most traditional industries. We’re transforming how property transactions happen - faster, smarter, and better for everyone. We’re not slowing down. The question is: will you be part of what’s next? The Main Event: What You’ll Drive, Build, and Own You will be working closely with Product, Data, and Engineering teams responsible for developing and enhancing AI-powered solutions across our Real Estate Agent Platform and Mortgage Broker Portal. You’ll leverage modern machine learning technologies and cloud infrastructure to build intelligent, data-driven products in an innovative and collaborative environment. Tech stack: Python, PostgreSQL, AWS, FastAPI Hands-On Engineering: Contribute to the development, deployment, and optimisation of machine learning models and AI-driven services. Take ownership of key technical deliverables while leading by example in engineering best practices. Machine Learning Excellence: Drive best practices in machine learning development, including data preparation, feature engineering, model training, evaluation, deployment, and monitoring. Ensure solutions are scalable, reliable, and maintainable in production environments. Stakeholder Collaboration: Work closely with Product, Data, Design, and Engineering teams to identify opportunities for AI-driven innovation, translate business requirements into technical solutions, and deliver measurable impact. The Perfect Match: What It Takes to Succeed at Huspy