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Startup de mensageria e voz, Partner META.

Responsabilidades

• Desenvolver, otimizar e manter infraestrutura cloud.
• Automatizar CI/CD.
• Monitorar a estabilidade do ambiente (CloudWatch, Grafana, Prometheus).
• Resolver incidentes e garantir alta disponibilidade.
• Implementar melhorias na arquitetura Kubernetes.
• Garantir boas práticas de DevOps e IaC (Infraestrutura como Código).
• Integrar e otimizar serviços críticos.
• Garantir segurança e redundância dos serviços.
• Documentar processos e decisões técnicas.

Requisitos

• Experiência sólida com Kubernetes.
• Forte conhecimento em Terraform.
• Experiência com CI/CD.
• Monitoramento com CloudWatch, Prometheus e Grafana.
• Experiência em resolução de incidentes e alta disponibilidade.
• Conhecimento em redes (VPCs, subnets, VPNs, Security Groups, Load Balancers).
• Familiaridade com containers e orquestração.
• Experiência com bancos de dados gerenciados.
• Boas práticas de segurança em cloud (IAM, controle de acessos, logs).

Diferenciais

• Experiência com observabilidade e tracing.
• Experiência em ambientes de alta escala.

Soft Skills

• Perfil executor e estratégico.
• Proatividade e autonomia.
• Colaboração e independência.
• Compromisso com estabilidade e crescimento.

O Que Oferecemos

• Desafio de evoluir a estrutura DevOps.
• Autonomia para decisões técnicas.
• Ambiente dinâmico e de alto crescimento.
• Oportunidade de trabalhar com tecnologias de ponta.
• Possibilidade de liderar a área no futuro.
• Home Office.

Overview

Oportunidade em aberto. Consultor Sênior RM (Totvs)

Domínio módulo fiscal, - Parametrizar e manter o Configurador de Tributos atualizado conforme reforma tributária.

• Profissional deverá atender aos seguintes requisitos
• CONHECIMENTO APROFUNDADO DA LEGISLAÇÃO TRIBUTÁRIA BRASILEIRA, ESPECIALMENTE SOBRE AS RECENTES E FUTURAS ALTERAÇÕES DECORRENTES DA REFORMA;
• EXPERIÊNCIA EM ANÁLISE E INTERPRETAÇÃO DE NORMAS FISCAIS;
• CAPACIDADE DE IDENTIFICAR IMPACTOS E PROPOR SOLUÇÕES PARA EMPRESAS DE PEQUENO E MÉDIO PORTE;
• HABILIDADE PARA COMUNICAÇÃO E INTERAÇÃO COM CLIENTES E EQUIPES INTERNAS.

Alocação por 6 meses podendo ser renovada

Modelo Remoto.

Contratação PJ.

RENNER Inauguração - Líder de Produtos Financeiros I Lavras/MG

Lavras, Minas Gerais, Brazil 3 months ago

Analista de gestão com ênfase em administração e finanças - Edital 24/2025

Lavras, Minas Gerais, Brazil 2 months ago

Lavras, Minas Gerais, Brazil 2 months ago

Lavras, Minas Gerais, Brazil 2 months ago

Senior Product Data Analyst

As a Sr. Product Data Analyst, you'll be directly impacting our results through insights and reports. You'll be working close to product managers, researchers, and other business stakeholders, helping with prioritization, assessments, and business recommendations. It will be your responsibility, alongside the Analytics team, to nurture the data-driven culture within the company, making data easier to consume, be it through interactive reports, easy-to-use datasets, documentation, training.

Help Us Build the Future of Outdoor Services

At LawnStarter, we’re transforming the $100B+ outdoor home services industry—making it easier for homeowners to book, manage, and enjoy services like lawn care, landscaping, and more. With $0M+ in venture funding and solid traction, we’re investing in the next generation of our platform—and we’re looking for a Senior Product Data Analyst to help drive it.

See what we are building!

Problems to be solved

Your primary responsibility will be to empower our organization to be more data-driven, and there are many ways to accomplish that, such as:

• Modeling & Analysis : A marketplace is a complex system, with various moving parts and often contradicting signals. That creates an extremely exciting pool of opportunities to find gaps, insights, or optimizations. The analysis and models we need have different degrees of complexity, from simple AB tests to multivariate models on retention or ETA. We expect you to have advanced experience in SQL and intermediate experience in Python or R.
• Reporting : If a complex system creates an exciting pool of opportunities, it also creates a high number of metrics that we need to keep track of to run the business efficiently. However, a dashboard is only as good as our trust in being correct and updated. It’s your responsibility to understand the needs of the teams you’ll be working with and help the Analytics team create and maintain our reporting system, keeping it organized and user-friendly. For that, you’ll be mainly using Tableau and Metabase.
• Analytics Engineering : Although it won’t be your main focus, occasionally, you will need to work on the inner layers of our Data Warehouse to provide clean and documented datasets to empower our reports and end users within the organization. Understanding the business needs and consolidating them into our DW is crucial to maintaining a reliable single source of truth. We use DBT for the data transformation, so SQL experience is a must.
• Experience : You have 4+ years of experience in data & analytics at data-driven companies.
• Education : You have a STEM or business background or relevant education that makes you suited to empower our organization to be more data-driven.
• Learning Mindset : You take pride in understanding problems deeply and asking the right questions. You can absorb a variety of topics with extreme ease, having a structured and logical approach to developing your understanding of the business and its challenges. This is unlikely to be a good fit if you have a preconceived system of processes and methods and plan on just applying them without first learning all the ways our business is unique.
• Team player: You are ready to work alongside exceptional people, helping them achieve great results. You create an environment where people are excited to work with you daily, with intellectual honesty and trust.
• Business focus : You care deeply about understanding business needs and how your analysis connects with our product, customers, and financials. You can envision how metrics drill down from the highest to the lowest level, identifying what needs to be analyzed or reported on each.
• Bias for action : You understand that despite your careful approach to understanding problems and identifying opportunities, you actively try to avoid being a perfectionist or getting yourself tied up in knots. You have a bias for action in order to make progress. You enjoy being scrappy and constraints enthrall you. This is unlikely to be a good fit if you, by default, like building full solutions from the get-go.

VERY IMPORTANT REMINDER: Please upload your English resume—applications without it will not be considered.

Perks of Working with Us

• Salary range: $60-$70k USD ann ally
• Work from anywhere
• Flexible hours —get the work done on your schedule
• Unlimited PTO —We focus on results. Take the time you need to recharge or enjoy life and work hard when you return.

LawnStarter is building the future of outdoor home services. Want to help us shape it? Apply now and let’s grow together.

Resumo da Vaga

VAGA ENGENHEIRO DE MACHINE LEARNING (SÊNIOR) | Grupo EasyLocal: 100% Home Office. Modalidade de Contratação: PJ ou Cooperado. Tempo de Projeto: Indeterminado.

• Anotar e preparar datasets de visão computacional.
• Projetar, treinar, validar e otimizar modelos de deep learning para classificação, detecção e segmentação de imagens.
• Treinar e implementar modelos YOLO (You Only Look Once) para tarefas de detecção de objetos.
• Desenvolver e manter pipelines de inferência para execução eficiente em produção.
• Implementar práticas de MLOps: CI/CD de modelos, versionamento de dados e de experimentos, monitoramento e retreinamento automático.
• Trabalhar em conjunto com engenheiros de software para integrar os modelos em sistemas e aplicações.

• Conhecimento de Python em quaisquer das bibliotecas de ML/DL (PyTorch, TensorFlow, OpenCV).
• Experiência prática com YOLO (treinamento e inferência em problemas de detecção de objetos).
• Experiência sólida em visão computacional (classificação, detecção, segmentação).
• Experiência em MLOps com quaisquer das ferramentas: AWS SageMaker Studio, MLflow, Kubeflow, Docker, Kubernetes, Airflow.
• Conhecimento em boas práticas de engenharia de software (Git, testes automatizados, ambientes reprodutíveis).

• Experiência em dados estruturados: preparação de dataset, treinamento e inferência em problemas de regressão e classificação tabular.
• Análise exploratória de dados estruturados (PCA, correlações, clustering com K-Means).
• Otimização de modelos para edge devices (TensorRT, ONNX, quantização).
• Contribuições para projetos open source ou publicações técnicas.

• Visão computacional (foco principal): curvas Precision-Recall, AP por classe, curva ROC/AUC, matriz de confusão, curvas de perda e acurácia durante o treinamento, distribuição de IoU.
• Learning curves (treino vs. validação).
• Dados estruturados (diferencial): gráficos de resíduos em regressão, curvas de calibração, feature importance, SHAP, PDP/ICE, heatmaps de correlação e PCA.
• MLOps / produção: gráficos de drift de dados, distribuição de probabilidades de saída (overconfidence).
• Métricas de latência/throughput, consumo de GPU/CPU/memória em inferência.

Envie seu currículo para: ***. Com o assunto: (Vaga) – (Seu Nome).

#MachineLearning #DataScientist #AIEngineer #DeepLearning #MLOps #Python #TechLeadership #SeniorEngineer

WHO WE ARE

At Trustly, we're building a smarter, faster, and more secure financial future by revolutionizing the world of payments. As a global leader in Open Banking Payments, we are establishing Pay by Bank as the new standard at checkout, providing unparalleled freedom, speed, and ease to millions of consumers and merchants worldwide.

Our Ambition: To build the world’s most disruptive payment network and redefine what the payment experience should feel like.

Trustly is a global team of innovators, collaborators, and doers. If you are driven by a strong sense of purpose and thrive in a dynamic, entrepreneurial, and high-growth environment, join us and be part of a team that’s transforming the way the world pays.

About the role

We are seeking a skilled and go-getter Sr. Machine Learning Engineer to join our Data Science team and play a pivotal role in driving the model development/production lifecycle. The ideal candidate will collaborate closely with Data Scientists, MLOps, and DataOps teams to implement ML models for assessing transactional risk and fraud, enable automated model retraining, and support robust machine learning inference systems. This role is essential for ensuring efficient, reliable, and scalable workflows to power data-driven insights and machine learning solutions.

What you will do:

• Model Development and Optimization: Design the data-architecture flow for the efficient implementation of real-time model endpoints and/or batch solutions.
• Data Exploration and Feature Engineering: Engineer domain-specific features that can enhance model performance and robustness.
• Productionization of ML Models: Build pipelines to deploy machine learning models in production with a focus on scalability and efficiency, and participate in and enforce the release management process for models and rules.
• Monitoring, Maintenance & Improvement: Implement systems to monitor model performance, endpoints/feature health, and other business metrics; Create model-retraining pipelines to boost performance, based on monitoring metrics; Model recalibration.
• Scalable System Design: Design and implement scalable architectures to support real-time/batch solutions; Optimize algorithms and workflows for latency, throughput, and resource efficiency; Ensure systems adhere to company standards for reliability and security.
• Innovation and Continuous Improvement: Conduct research and prototypes to explore novel approaches in ML engineering for addressing emerging risk/fraud patterns.
• Collaborative Problem Solving: Partner with fraud analysts, risk managers, and product teams to translate business requirements into ML solutions.

Who you are:

• Bachelor’s or Master’s degree in CS/Engineering/Data-Science or other technical disciplines.
• Solid experience in DS/ML engineering.
• Proficiency in programming languages such as Python, Scala, or Java.
• Hands-on experience in implementing batch and real-time streaming pipelines, using SQL and NoSQL database solutions
• Familiarity with monitoring tools for data pipelines, streaming systems, and model performance.
• Experience in AWS cloud services (Sagemaker, EC2, EMR, ECS/EKS, RDS, etc.).
• Experience with CI/CD pipelines, infrastructure-as-code tools (e.g., Terraform, CloudFormation), and MLOps platforms like MLflow.
• Experience with Machine Learning modeling, notably tree-based and boosting models supervised learning for imbalanced target scenarios.
• Experience with Online Inference, APIs, and services that respond under tight time constraints.
• Proficiency in English.

Nice to have:

• Prior experience with ML applied to financial decision-making, such as credit risk, and fraud prevention.
• Prior experience with AWS Sagemaker and/or similar DS/ML workbench.
• Proficiency in containerization and orchestration tools such as Docker and Kubernetes.
• Feature store development and integration experience.
• Experience with distributed data systems such as Kafka, Spark, Hadoop, and workflow/data orchestration tools (e.g., Airflow).

Our perks and benefits:

• Bradesco health and dental plan, for you and your dependents, with no co-payment cost;
• Life insurance with differentiated coverage;
• Meal voucher and supermarket voucher;
• Home Office Allowance;
• Team Allowance;
• Wellhub - Platform that gives access to spaces for physical activities and online classes;
• Trustly Club - Discount at educational institutions and partner stores;
• English Program - Online group classes with a private teacher;
• Extended maternity and paternity leave;
• Birthday Off;
• Flexible hours/Home Office - our culture is remote-first! You can work in every city in Brazil;
• Welcome Kit - We work with Apple equipment (Macbook Pro, iPhone) and we send many more treats! Spoiler alert: Equipment can be purchased by you according to internal criteria!;
• Annual premium - As a member of our team, you are eligible to receive an annual bonus, at the company's discretion, based on the achievement of our KPIs and individual performance;
• Referral Program - If you refer a candidate and we hire the person, you will receive a reward for that!

At Trustly, we embrace and celebrate diversity of all forms and the value it brings to our employees and customers. We are proud and committed to being an Equal Opportunity Employer and believe an open and inclusive environment enables people to do their best work. All decisions regarding hiring, advancement, and any other aspects of employment are made solely on the basis of qualifications, merit, and business need.

Lead, SAP Systems Analyst – SD, MM & SCM

This role is fully remote and can be based anywhere in Brazil. Come build something that matters. It takes great people to achieve greatness. People with a sense of purpose and integrity. People with a relentless pursuit of excellence. People who care about making things better For Those Who Make The World.

The Job: A detail-oriented and results-driven Lead, SAP Systems Analyst with extensive experience in Sales & Distribution (SD), Materials Management (MM), and Logistics Execution modules. Proven expertise in the analysis, configuration, and support of pricing, supply chain, Available-to-Promise (ATP), and billing processes for global organizations in manufacturing and consumer goods sectors.

• Analyze, design, and configure SAP SD, MM, and Logistics modules to support business requirements in Order Fulfillment, Supply Chain, and Billing Operations.
• Manage and optimize enterprise structure, master data (customer/material), and organizational unit assignments to align with business processes.
• Configure and maintain pricing procedures using condition techniques, ensuring accurate and flexible pricing strategies.
• Implement and support core supply chain functionalities, including order management, inventory control, shipping, delivery, and goods movement.
• Design and maintain ATP processes, ensuring product availability and efficient order processing.
• Configure and support billing processes, including billing document types, credit/debit memos, and integration with FI/CO modules.
• Develop functional specifications for RICEF objects (Reports, Interfaces, Conversions, Enhancements, Forms) and work closely with technical teams for solution delivery.
• Support integration with external systems and EDI/IDoc messaging for sales order, delivery, and billing processes.
• Conduct unit, integration, and user acceptance testing (UAT), prepare test cases, and support cutover and post-go-live activities.
• Provide end-user training, create user manuals, and deliver knowledge transfer to support teams.
• Monitor and resolve production support issues, analyze incident tickets, and implement process improvements.

The Person: You love to learn and grow and be acknowledged for your valuable contributions. You’re not intimidated by innovation. You have strong experience in:

• SAP SD, MM, Logistics Execution (LE-SHP, LE-TRA), gATP and Event Manager
• Pricing Configuration & Management
• Supply Chain Optimization & ATP
• Billing & FI/CO Integration
• Master Data Management
• RICEF Functional Design & Documentation
• EDI/IDoc Integration
• Testing (Unit, Integration, UAT) & Cutover Support
• End-User Training & Documentation
• Incident Management & Production Support
• MS Office, SAP Solution Manager, Service Now

We want our company to be a place you’ll want to be – and stay. Being part of our team means you’ll get to:

• Grow: Be part of our global company with 20+ brands to grow and develop your skills along multiple career paths.
• Learn: Have access to a wealth of learning resources, including our digital learning portal.
• Belong: Experience an awesome place to work, where we have mutual respect and a great appreciation for a wide range of perspectives and experiences.
• Give Back: Help us continue to make positive changes locally and globally through volunteerism, giving back and sustainable business practices.

We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law.

O que procuramos?

Atribuições Principais: Efetuar acompanhamento com o cliente, identificando pontos de melhoria em processos e funcionalidades; Efetuar detalhamento das demandas e entendimento do negócio junto ao cliente; Efetuar prioridades e envio de chamados; Efetuar a elaboração de documentos de escopo de melhorias; Realizar testes funcionais da ferramenta; Desenvolver material e realizar treinamento das novas demandas para as áreas usuárias, multiplicadoras e outras; Interagir com as demais equipes de TI e áreas de negócio a fim de aperfeiçoar os processos por meio da atuação integrada; Potencializar a capacidade da plataforma, realizando parametrizações via Flows, Regras de Validação, Workflows; Realizar integrações da plataforma de gestão com outras plataformas; Ser referência técnica para equipe e empresa.

Requisitos: Experiência com OSGT(Thomson Reuters); Conhecimento no ERP Sap Ecc; Forte conhecimento na parametrização do OSGT com o ERP Sap; Inglês avançado.

Responsabilidades: Realizar o mapeamento de processos relacionados à importação/exportação/outros e parametrização no OSGT; Realizar o levantamento de requisitos junto ás áreas da empresa; Configurar e validar integrações com o ERP SAP; Apoiar os times técnicos no desenho de integrações e regras de negócio; Apoiar testes de homologação as soluções entre OSGT, ERP Sap e outros sistemas; Suporte os times nas Soluções de OSGT e ERP SAP.

Diferenciais: Boa comunicação e postura consultiva.

Localidade Da Posição: Remota.

Por que construir sua carreira na Meta? Oferecemos autonomia, metas claras e um ambiente dinâmico e desafiador, onde os profissionais têm oportunidade de interagir com diferentes tecnologias, participar de todos os tipos de projetos, trazer novas ideias e trabalhar de qualquer lugar do Brasil e do mundo.

Quais são nossos valores?

• Somos pessoas servindo pessoas
• Pensamos e agimos como donos
• Temos gana por performance
• Crescemos e aprendemos juntos
• Buscamos excelência e a simplicidade
• Temos inovação e criatividade no nosso DNA

Todas as pessoas são bem-vindas independentemente de sua condição, deficiência, etnia, crença religiosa, orientação sexual, aparência, idade ou afins. Queremos que você cresça conosco em um ambiente acolhedor e repleto de oportunidades.

VAGA ENGENHEIRO DE MACHINE LEARNING (SÊNIOR) | Grupo EasyLocal: 100% Home Office. Modalidade de Contratação: PJ ou Cooperado. Tempo de Projeto: Indeterminado

Responsabilidades principais:

• Anotar e preparar datasets de visão computacional.
• Projetar, treinar, validar e otimizar modelos de deep learning para classificação, detecção e segmentação de imagens.
• Treinar e implementar modelos YOLO (You Only Look Once) para tarefas de detecção de objetos.
• Desenvolver e manter pipelines de inferência para execução eficiente em produção.
• Implementar práticas de MLOps: CI/CD de modelos, versionamento de dados e experimentos, monitoramento e re-treino automático.
• Trabalhar em conjunto com engenheiros de software para integrar os modelos em sistemas e aplicações.

Requisitos obrigatórios:

• Conhecimento de Python em quaisquer das bibliotecas de ML/DL (PyTorch, TensorFlow, OpenCV).
• Experiência prática com YOLO (treinamento e inferência em problemas de detecção de objetos).
• Experiência sólida em visão computacional (classificação, detecção, segmentação).
• Experiência em MLOps com quaisquer das ferramentas: AWS SageMaker Studio, MLflow, Kubeflow, Docker, Kubernetes, Airflow.
• Conhecimento em boas práticas de engenharia de software (Git, testes automatizados, ambientes reprodutíveis).

Diferenciais:

• Experiência em dados estruturados: preparação de dataset, treinamento e inferência em problemas de regressão (ex.: regressão linear, regressão logística, árvores de decisão) e classificação tabular.
• Análise exploratória de dados estruturados (ex.: Análise das componentes principais - PCA, análise de correlação, clustering com K-Means).
• Otimização de modelos para edge devices (TensorRT, ONNX, quantização).
• Contribuições para projetos open source ou publicações técnicas.

Métricas e gráficos que deve saber interpretar:

• Visão computacional (foco principal): ***, ***:0.95. Curvas Precision-Recall (PR) e AP por classe. Curva ROC e AUC. Matriz de confusão. Curvas de perda e acurácia durante o treinamento. Distribuição de IoU (Interseção Sobre a União).
• Learning curves (treino vs. validação).
• Dados estruturados (como diferencial): Gráficos de resíduos em regressão. Curvas de calibração de probabilidade. Feature importance, SHAP e PDP/ICE plots. Heatmaps de correlação e PCA (scree plot, biplot).
• MLOps / produção: Gráficos de detecção de drift de dados. Distribuição de probabilidades de saída (overconfidence). Métricas de latência/throughput. Consumo de GPU/CPU/memória em inferência.

Acha que preenche todos os requisitos e quer fazer parte do nosso time? Envie seu currículo para: *** Com o assunto: (Vaga) – (Seu Nome)

• Brazil / Portugal - Remote (any location)

As a Senior Frontend React Engineer, you'll building new websites and pages based on provided technical and functional specifications and implementing different strategies for existing products and tools based on requirements

We are looking for candidates who are as excited about pushing their own development as they are about advancing our technology stack.

Our core developers are passionate about software engineering and enjoy developing their skills and abilities in a friendly and supportive environment of keen learners.

You will join our engineering team and be a valued member working closely in a collaborative, autonomous, cross-functional team. You will help with the following:

• Develop websites based on technical and functional specifications provided by the client;
• Continued maintenance, development, and bug fixes for the existing web sites;
• Utilise source control tools such as Gitlab for maintaining code versioning and releases;
• Work with the team to manage, optimise and customise multiple web applications;
• Attend daily meetings to report on assigned tasks’ progress and attend fortnightly meetings for project planning and other meetings from time to time;
• Complete tasks & deliver projects on-time and to the highest standards;
• Contribute ideas for making the application better and easier to use.

• Bachelor's degree in Computer Science or any related technical field.
• At least 5 years of professional experience as a Frontend Web Developer.
• Expert proficiency in React.js and its core principles, with demonstrated experience in architecting complex applications.
• Extensive experience designing and implementing scalable solutions using popular React.js workflows (such as Redux, Flux, or MobX), with a focus on performance optimization and code maintainability.
• Mastery of modern frontend build pipelines and tools (e.g., Webpack), including the ability to configure and optimise build processes for large-scale applications.
• Proven expertise in designing and consuming RESTful APIs, with a strong emphasis on efficient data handling and integration.
• Advanced understanding of version control systems (e.g., Git) and code collaboration tools (e.g., GitHub), with experience in leading code reviews and providing mentorship to junior developers.
• Exceptional ability to write clean, modular, and well-documented code, with a keen eye for detail and a commitment to writing maintainable software.
• Strong analytical and problem-solving skills
• Experience working in Agile development environments.
• Strong English communication skills, both written and verbal

• Be part of our collegial environment where responsibility and authority are shared equally amongst colleagues and help create our company culture
• A culture in which we don’t criticise failure but ensure we learn from our mistakes
• An Agile environment where your ideas are welcome
• The possibility to grow and experience different projects
• The possibility to travel

- ATTENTION! THIS POSITION IS FOR PORTUGAL OR BRAZIL BASED ONLY