May 11
• Architect, develop and deploy machine learning systems to production. The main use cases are related to chatbots and search • Design and execute experiments • Analyze a wide variety of data (structured and unstructured, observational and experimental) to improve current models or create new ones • Participate actively in discussions and decisions regarding the whole Data Science chapter (Guilds, Design Reviews, Demos, etc.) • Combine Software Engineering and Data Science disciplines to create production-ready Machine Learning models
• Solid software engineering skills • Strong background in Machine Learning • Understanding of requirements and challenges for machine learning services • Understanding of a modeling pipeline • Good cloud-based infrastructure skills • Experience developing RESTful APIs • Passion about tough technical challenges • Humility, curiosity and avid interest in learning • Ability to handle with changes in a fast-paced environment • Good communication and teamwork skills • Orientation to business value • Experience productionizing ML models • Strong python skills • It will be a plus if you have some Java experience • Experience with Spark • Experience with MLOps tools and libraries (Ex: MLflow, Kubeflow, AWS SageMaker, Google AI Platform, etc) • Experience in the Real Estate market • MSc. or PhD in Computer Science, Engineering, Statistics, or other relevant technical fields.
• 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 • *Due to our new remote-work reality, that benefit may have changed. That will be informed to you throughout the hiring process.
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