Senior Machine Learning Engineer

Summary

Join QuintoAndar, Latin America's largest real estate ecosystem, as a Machine Learning Engineer. You will combine software engineering and data science to build production-ready ML models, integrate with other engineering services, and develop frameworks for deploying and monitoring ML services. This role involves collaboration with various teams throughout the modeling pipeline, ensuring the health and quality of ML services, and contributing to the scaling of ML solutions. QuintoAndar offers a remote-first work model within Brazil, a competitive salary and benefits package, and a collaborative, innovative environment. The selection process takes approximately 30-40 days and includes several interview stages. Apply now to be part of a high-impact project affecting thousands of lives.

Requirements

• 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

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 way of 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 of 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

Preferred Qualifications

• 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
• Some Java experience (or other ‘low-level’ or compiled language)

Benefits

• Competitive salary package
• Bonus
• Meal allowance ("Flash Benefícios")
• Public transportation allowance*
• Health plan
• Dental plan (optional)
• Life insurance
• Daycare subsidy
• Subsidy to sports practicing (Gympass)
• Extended maternity and paternity leave
• Reserved room for breast-feeding
• Discount on our parking lot
• Language learning support
• Free transfer from Vila Madalena and Fradique Coutinho stations to the office
• Free bike rack in our parking lot