Grupo QuintoAndar | Senior Machine Learning Engineer

Grupo QuintoAndar | Senior Machine Learning Engineer We are Grupo QuintoAndar, the largest real estate ecosystem in Latin America. Guided by a shared purpose of helping people love the places they live, we have a diverse portfolio of brands and solutions across different countries in Latin America, as well as a Tech Hub in Portugal. We develop technology and innovation to transform and boost the housing experience. 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. Language This job description is written in English because it will be necessary for communication with coworkers and suppliers from around the world, as well as for tools and internal materials. Stages of the hiring process Application Interview with Recruiter Tech Screening Interviews with Data & AI Team Offer About the MLE role At QuintoAndar we use Machine Learning (ML) to build delightful experiences and solve complex problems. We are at a maturity level where scaling those ML systems is also a challenge. We need Machine Learning Engineers to bring great models to production as effective ML-based products and features, and also evolve this ecosystem. Machine Learning Engineer Responsibilities Combine Software Engineering and Data Science disciplines to create production-ready Machine Learning models; Integrate other engineering services and systems with our ML services; Develop frameworks and platform to build, deploy, serve and monitor ML-based services; Collaborate with Software Engineers, Data Engineers and Data Scientists along the modeling pipeline: Features preparation Model training API development Service deployment Predictions and features monitoring Model retraining Assure health and quality of ML services; Foster best practices for infrastructure and coding regarding machine learning specific requirements; Contribute to vision and architecture to scale ML solutions at QuintoAndar's business; Participate in problem contextualization, solution scope, product discovery, design and implementation of ML-based products and/or ML Platform; Manage technical debt regarding a strategic trade-off between delivering value in the short term and expanding ML capabilities in the long term; Bridge professionals and technical dependencies between non-ML services and ML services. What we are looking for Strong software engineering and Python skills; Solid background in Machine Learning; Proven experience in productionizing ML models, with deep expertise in deploying and maintaining ML services; Good cloud-based infrastructure skills; Experience with MLOps tools and libraries (Ex: MLflow, Kubeflow, AWS SageMaker, Google AI Platform, etc); Experience developing RESTful APIs; Experience with tough technical challenges; Humility, curiosity and avid interest in learning; Ability to deal with changes in a fast-paced environment; Good communication and teamwork skills; Orientation to business value. You’ll stand out if you have MSc. or PhD in Computer Science, Engineering, Statistics, or other relevant technical fields; Experience with Deep Learning models; Experience with LLMs, AI Agents and chatbots; Experience working on ML Platform team; Experience with Spark; Experience in fast-growing start-ups or in high-tech companies; It will be a plus if you have some Java experience (or other 'low-level' or compiled language). Important Our hiring process starts with the application If you genuinely 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. Job Details Seniority level: Mid-Senior level Employment type: Full-time Job function: Design, Art/Creative, and Information Technology Industry: Software Development Referrals increase your chances of interviewing: 2x #J-18808-Ljbffr