Docket

Machine Learning Engineer

• Assess and select appropriate technologies and tools.
• Coordinate planning and execution of team tasks.
• Participate in strategic meetings and alignments.
• Perform code reviews and ensure software quality.
• Resolve technical problems and roadblocks.
• Guide the team in difficult decisions.
• Align different company areas to ensure the intended outcomes.
• Actively participate in strategic discussions with product teams.
• Write code to help the team deliver, eliminate bottlenecks, and demonstrate standards for the project team to understand requirements and communicate test results effectively.
• Project Leadership: Lead machine learning teams and projects, setting goals, deadlines, and execution strategies.
• Mentorship and Guidance: Coach and train machine learning engineers, sharing knowledge and best practices.
• ML Strategy Definition: Develop machine learning strategies to address complex business problems and define success metrics.
• Performance Optimization: Optimize model performance through hyperparameter tuning, grid search, and other advanced techniques.
• Data Exploration: Perform exploratory data analysis (EDA) to discover insights and identify features important for models.
• Model Deployment to Production: Deploy models to production environments, ensuring scalability and maintainability.
• Research and Development: Keep up with recent research in machine learning and contribute to the development of new algorithms and techniques.
• Develop, train, and optimize Transformer- and LLM-based models for text processing tasks;
• Build robust pipelines for text pre-processing and post-processing;
• Apply software engineering best practices in Machine Learning projects;
• Work with structured and unstructured data, integrating models with databases and APIs;
• Participate in technical decisions about architecture, model versioning, testing, and deployment;
• Collaborate with data engineers and other teams to scale solutions in production.

Tech Lead – Machine Learning

• Develop, train, and optimize Transformer-based models and LLMs for text processing tasks;
• Build robust text preprocessing and postprocessing pipelines;
• Apply software engineering best practices in Machine Learning projects;
• Work with structured and unstructured data, integrating models with databases and APIs;
• Contribute to technical decisions on architecture, model versioning, testing, and deployment;
• Collaborate with data engineers and other teams to scale solutions in production.

Senior Machine Learning Engineer

Backend Engineer

• Participar diretamente da definição de arquitetura e do design de código;
• Seja responsável pelo desenvolvimento de aplicações Backend, escrevendo código de fácil manutenção e reutilizável (Código limpo e seguro) - Qualidade;
• Dar suporte para outros desenvolvedores do Time;
• Utilização avançada e correta do Spring Boot e seus módulos: (Ex: Spring Data, Spring Security, Spring Web);
• Desenvolvimento correto de API Rest, utilizando Spring Boot (Domínio completo dos verbos http e códigos de retorno http);
• Excelente conhecimento de Bancos de Dados Relacionais, tecnologias SQL e ORM (JPA2, Hibernate, JDBC Template) - Banco de Dados Postgres;
• Desenvolvimento orientado a testes;
• Identificar bugs, gargalos e outros problemas dentro do código, e conceber formas de resolver e/ou melhorar - (Segurança e Performance);
• Analisar os riscos e impactos no desenvolvimento de Feature ou manutenção nos sistemas;

Engenheiro Backend Sênior – Java, Spring Boot

Frontend Engineer

• Collaborate with the product team to prioritize and evaluate requests.
• Support architecture definition and resolve technical bottlenecks.
• Develop enterprise (SaaS web) applications using React or Next.js.
• Deliver pixel-perfect implementations (experience with Figma).
• Build scalable web platforms with a focus on security and performance.
• Ensure best practices in front-end application development.

Frontend Developer

Analyst

• Operate and monitor the brand's digital channel media plan, ensuring execution, quality, and alignment with the communication strategy.
• Moderate and manage customer contacts and potential new leads via social media, in coordination with the communication, CSM, and sales teams.
• Build, together with the team, the brand's media planning process, structuring organic media flows integrated with paid media plans.
• Support the consolidation of a stable digital media structure focused on increasing share of mind and the company's growth objectives.
• Prepare reports, analyses, and performance presentations for channels and media outlets, turning data into actionable insights.

Tech Lead – Machine Learning

Senior Machine Learning Engineer

Engenheiro Backend Sênior – Java, Spring Boot

Frontend Developer

Digital Media Analyst