Vagas remotas para brasileiros nos Estados Unidos e Europa

• Bachelor's degree in Business Administration, Computer Science, Information Technology, or a related field.\n• Proven experience as a Business Analyst in the technology sector, preferably in AI or software development environments.\n• Strong analytical and problem-solving skills with the ability to interpret complex data.\n• Proficient in tools like Microsoft Excel, PowerPoint, SQL, and business intelligence platforms (e.g., Power BI, Tableau).\n• Experience with project management and collaboration tools (e.g., JIRA, Confluence, Slack).\n• Exceptional communication and interpersonal skills to effectively collaborate with cross-functional teams.\n• Understanding of software development lifecycle (SDLC) and Agile methodologies.\n• Strong organizational skills and attention to detail.

• Bachelor’s degree in Business Administration, Research, Customer Service Management, or a related field.\n• Advanced degree preferred.\n• Minimum of 5 years of experience in operations management and/or customer support operations with a proven track record of success.\n• Ideally at least 2 years’ experience in research operations.\n• Familiarity with research tools, data analysis software, and customer support platforms such as Zendesk, Hubspot Service Hub (e.g., CRM systems

• Bachelor’s or Master’s degree in a quantitative discipline such as Mathematics, Statistics, Computer Science, or a related field.\n• Strong understanding of Ethereum blockchain, smart contracts, decentralized finance (DeFi), and related technologies.\n• Experience with working with large datasets, SQL, and NoSQL databases.\n• Solid programming skills in languages such as Python, R, or MATLAB for data manipulation, analysis, and model implementation.\n• Proficiency in quantitative analysis techniques, statistical modeling, and data visualization tools is a plus.\n• Familiarity with cryptocurrency trading, derivatives, and risk management concepts is desirable.\n• Overlap with UK Timezone.\n• Ability to work effectively in a fast-paced, dynamic environment with tight deadlines.\n• Excellent problem-solving skills and attention to detail.\n• Strong communication and presentation skills to convey complex concepts to diverse audiences.

• Great SQL knowledge;\n• Programming skills;\n• Excellent Portuguese communication;\n• Advanced English communication;\n• Great analytical skills;\n• Great problem solving skills;\n• Fast learning;

• At least 2 years of relevant creative writing experience, copywriting, and content strategy in advertising agencies and/or comms and marketing departments.\n• Hold a relevant degree in Advertising, Communications, Marketing or equivalent.\n• Excellent written and verbal communication skills.\n• Highly collaborative and self-directed.\n• Comfortable working in a highly fast-paced - sometimes chaotic - environment that requires flexibility and a startup mindset.\n• Native Portuguese speaker Advanced English.\n• Experience with Payments/Financial sectors and retail are a “nice to have”.

• Experience in building and deploying machine learning models.\n• Proficiency in Python and machine learning frameworks (e.g., TensorFlow, PyTorch).\n• Ability to work with LLMs\n• Experience with cloud-based environments like GCP\n• Experience in using data pipelines for model training and inference.\n• Knowledge of statistical techniques and model evaluation metrics.

• 5+ years of experience as a Site Reliability Engineer (SRE) or similar role in a cloud environment.\n• Expertise in AWS cloud services, including EC2, RDS, Lambda, S3, and CloudWatch.\n• Experience with infrastructure-as-code (Terraform, CloudFormation) and automation. This is a must-have experience

• 5+ years of experience as a Data Engineer, with expertise in building data pipelines using AWS.\n• Proficiency in data processing frameworks and tools (e.g., Apache Spark, AWS Glue, Kinesis).\n• Strong understanding of ETL processes and data architecture design.\n• Experience with SQL and NoSQL databases, including DynamoDB and Redshift.\n• Strong understanding of data privacy and security best practices.\n• Experience with big data technologies and real-time data processing.

• 2 years experience in Hospitality Account Management or similar experience in technology\n• Bilingual in English/Spanish required; ability to communicate in Portuguese is preferred

• Solve interesting problems (considering scalability, designing robust, future-proof architecture)\n• Deploy fast with a short feedback loop - coding rather than attending needless meetings\n• Actively participate in designing, defining, and implementing complete features\n• Contribute to key decisions, including work prioritization and deadlines\n• Program using TDD for maximum efficiency\n• TypeScript - We're using TypeScript, not JavaScript with types, and we're leveraging its powers to give us confidence during development to shipping things faster and safer.\n• Node.js - Most of our backend services are powered by Node.js and Express.\n• MongoDB - Our main database. We're using it heavily to store huge loads of data, using proper operations to maintain data consistency and data aggregation pipelines to process it further.\n• AWS/Microservices - There are several services forming the Talkie.ai platform.

• Postgres\n• RDS\n• AWS/Terraform\n• GitHub Actions/Jenkins\n• Flyway/Liquibase to propagate schema changes\n• Observability/Datadog,\n• Performance tuning,\n• Version upgrades,\n• Replication Management

• 12+ years of work-related industry experience developing high-performance web applications in C#/ .NET\n• Experience with designing and implementing RESTful microservices in .NET Core, with additional proficiency in .NET 5 or .NET 6 as a bonus\n• Experience developing event-driven microservices using various messaging platforms and queuing systems, such as Apache Kafka, RabbitMQ, or similar technologies\n• Experience with migrating monolithic systems to microservices architecture using domain-driven design principles and established patterns\n• SQL and relational database design, particularly with MS SQL Server\n• NoSQL databases, with a preference for DocumentDB experience\n• OAuth and OpenID Connect protocols for secure authentication and authorization\n• Modern CI/CD tools for automated build, test, and deployment pipelines\n• Experience with specific technologies such as Redis, Elasticsearch, Containerization (Kubernetes, Docker) is nice to have\n• Experience with SCRUM Agile processes, demonstrating the ability to effectively collaborate within an Agile team environment\n• Strong communication skills, facilitating clear and concise interactions within cross-functional teams to ensure project alignment and success

• 3+ years of experience as an iOS Developer\n• Proficient with Swift, Objective-C, and UIKit\n• Significant experience with iOS frameworks such as Core Data, Core Animation, etc.\n• Significant experience with offline storage, threading, and performance tuning\n• Deep understanding of Swift design patterns and architectures (MVC, MVVM, VIPER, or Clean architecture)\n• Deep understanding of the memory management in the iOS platform\n• Knowledge of multi-threaded, asynchronous code\n• Experience with code signing and delivery of iOS applications\n• Familiarity with RESTful APIs to connect iOS applications to back-end services\n• Understanding of Apple’s design principles and interface guidelines\n• Passion for building great mobile applications\n• Experience with SCRUM development methodology\n• Excellent spoken and written English\n• Responsible and team-oriented person

• Ter trabalhado diretamente e/ou construído projetos relevantes com: React, Next.js, Node.js e Typescript;\n• Experiência sólida com bancos de dados relacionais;\n• Ter uma boa comunicação, proatividade, disposição para aprender e ter foco em negócios;\n• Diferencial ter trabalhado com infraestrutura da Cloud AWS;\n• Goste de estudar e desenvolver habilidades técnicas continuamente;\n• Curtir um ambiente desafiador e em constante mudança.

• 3-5 years professional experience in a ML Engineering / ML Ops role, or as a data engineer with significant exposure to ML model deployment\n• Advanced python skills including significant experience building ML workflows or CI/CD pipelines\n• Comfort with data science libraries such as pandas, numpy and scipy\n• SQL competence and experience with data cleansing\n• Experience optimizing ML models at scale\n• Experience working with data scientists to productionalize their models\n• Some understanding of hyperparameter tuning and familiarity with common statistical models