Grupo QuintoAndar - Head of Data & AI

Requirements

• You have a proven track record of leading teams and managing careers within the data field for at least 4 to 5 years.
• Deep understanding of machine learning concepts, including regression, classification, clustering, neural networks, cross-validation, and model explainability.
• Strong knowledge of probability and statistics, including experimental design, optimization, and causal inference for A/B testing.
• Solid understanding of the engineering challenges required to deploy and maintain machine learning systems in production.
• Proficiency in Python and experience with software engineering best practices.
• You'll stand out if you:
• Have experience building solutions with Large Language Models (RAG, fine-tuning) and developing AI agents or agentic frameworks (LangGraph, LangChain).
• Hold an MSc. or PhD in Computer Science, Statistics, or a relevant technical field.
• Have solid experience with Deep Learning and NLP techniques.
• Have experience working in fast-growing startups or high-tech companies.
• Excellent written and verbal communication skills in English are mandatory.
• Important
• Our hiring process starts with the application! If you truly want to be part of our team, please complete this step of the process. We analyze all candidates individually and provide feedback to all applicants.
• All communication will be conducted via email , so please stay tuned for our messages and release the domain @quintoandar.com.br to ensure our emails are not sent to spam.

Benefits

Additional Information

About Grupo QuintoAndar We are Grupo QuintoAndar, the largest real estate ecosystem in Latin America. Guided by a shared purpose of helping people love where they live, we have a diversified portfolio of brands and solutions across different countries in Latin America, covering all phases of the housing journey. We also have a Technology Hub in Portugal. We develop technology and innovation to transform and enhance the overall living experience. With the support of a world-class team of investors and advisors, including Kaszek, Qualcomm, General Atlantic, and SoftBank, Grupo QuintoAndar is currently valued at over USD 5.1 billion and continues to grow year over year. Here, you will work with top professionals in the market, in an environment that breathes innovation, collaboration, and high performance. To learn more about our story, visit: https://grupoquintoandar.com/pt/ . Location & Remote Work Our technology team operates under a "remote-first" model, which means we work from home and can live anywhere in Brazil. We also offer the option of working from our São Paulo offices or partner coworking spaces, up to twice a week. Hiring Process Stages The stages of our hiring processes aim to assess your experiences and allow you to meet our teams and explore career opportunities. They are structured as follows: Application Interview with Recruiter Tech Screening Technical Interviews with Data Team Offer About our Head of Data & AI Join our Data Science team and become a key part of our product squads, delivering features that enrich our product and uphold the first-class experience we're known for. As a Head, you will balance hands-on technical work with managerial responsibilities , having the opportunity to make a significant impact through both technical excellence and strategic leadership. You will drive high-impact projects, mentor team members, and play a crucial role in shaping the technical direction of our data science and machine learning solutions. On top of being a great Head of Data & AI, we expect you to: Manage a team of Data Scientists and Machine Learning Engineers, fostering a high-performance culture and continuously raising the bar for technical excellence. Act as a technical reference for the team, architecting, developing, and deploying machine learning systems to production when needed. Discuss business requirements with Product Managers and other senior leaders to align data strategy with business goals. Guide the team in designing and executing experiments, ensuring robust analysis of structured and unstructured data to improve current models. Focus on recruiting great talent and helping them grow through regular performance feedback and development opportunities. Set clear goals and objectives for the team and ensure they are aligned with the overall business objectives. Advocate for the value of data and AI within the organization and foster a data-driven culture.

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