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Vetted Google Cloud Speech-to-Text developer in Brazil (UTC-3)
Results-oriented Software Developer with a passion for creating innovative solutions. Proficient in various programming languages and frameworks, I am dedicated to delivering high-quality code. Seeking to contribute my skills and creativity to a dynamic technology team, where I can make a meaningful impact through collaboration and continuous learning.
Vetted Google Cloud Speech-to-Text developer in Brazil (UTC-3)
Senior software developer with bachelor’s in computer science and 20+ years experience. Entrepreneur mindset, seeking to leverage proven leadership and coding expertise to help your company build great softwares
Google Cloud Speech-to-Text developer in Brazil (UTC-3)
I have over 5 years of experience as a Full Stack Engineer, specializing in backend development with Node.js and frontend applications using React. Throughout my career, I have worked on various projects, including building tourism apps, puzzle games, and voice AI-driven ordering systems. I am passionate about solving complex problems and creating scalable, user-centered solutions. Moving forward, I aspire to work on innovative products that leverage cutting-edge technologies, while continuously growing as a developer and contributing to impactful projects that enhance user experiences.
Vetted Google Cloud Speech-to-Text developer in Brazil (UTC-3)
👋 I'm a QA professional with experience in both manual and automated testing. Currently, I work at Object Edge Inc, a multinational IT company specializing in e-commerce. 🚀 My skills include test case design and execution, test documentation and issue tracking, as well as test automation. I follow methodologies like Scrum and BDD and have experience with operating systems such as Windows, Ubuntu, iOS, Android, and MacOS. I'm proficient in JavaScript and HTML and work with frameworks like Cypress and WebdriverIO. 🎓I have completed my bachelor's degree in Analysis and Systems Development and am currently awaiting the issuance of the diploma. However, I initially entered the workforce in a different field of knowledge and hold a Master's degree in Consumer and Competition Law.
Vetted Google Cloud Speech-to-Text developer in Brazil (UTC-3)
As a Data Engineer with over 3 years of experience, I've led multiple data migration projects and developed robust ETL pipelines using AWS and PySpark. I've improved data processing efficiency by implementing automated workflows and achieving 98% code coverage in testing. Currently working in the automotive industry, I integrate AI/ML solutions while collaborating with international teams. With a strong background in Computer Science, post-graduate studies in AI / Big Data, and an MBA in Software Engineering, I combine technical expertise in Python, SQL, and cloud technologies with a passion for building scalable data solutions.
Vetted Google Cloud Speech-to-Text developer in Brazil (UTC-3)
Data Scientist with over 5 years of experience working on multiple lines of business. My main stack is Python and I've worked with multiple machine learning algorithms, data anaysis and visualization, hypothesis testing (A/B testing), statistical analysis and data engineering work. Since I have an engineering backgound, problem solving comes naturally for me.
Vetted Google Cloud Speech-to-Text developer in Brazil (UTC-3)
**Deep Learning Architect (L5) | AWS Generative AI Innovation Center** _São Paulo, Brazil_ With 5+ years experience in AI/ML, I am currently a Deep Learning Architect at AWS Generative AI Innovation Center, blending my expertise in Generative AI science with advanced architectural design to deliver robust, scalable solutions. In my role, which merges the responsibilities of a Data Scientist and a Solutions Architect, I lead customer engagements from proof-of-concept to production-grade systems, ensuring they are secure, fault-tolerant, and optimized for enterprise performance. As a tech lead, I maintain a hands-on approach—contributing to model development, optimization, and deployment—while collaborating with diverse teams to design solutions that drive innovation and disrupt industries. I am seeking long-term opportunities where I can leverage my dual expertise to develop cutting-edge Generative AI solutions and help companies revolutionize their business verticals through transformative technology. ### **Technical Skills** **Artificial Intelligence & Machine Learning** * Expertise in Large Language Models (LLMs), Natural Language Processing (NLP), Computer Vision, Neural Networks, Transformers * Hands-on experience with frameworks: PyTorch, TensorFlow, Scikit-learn **Cloud Computing & DevOps** * 4 AWS Certified (Soultions Architect, Cloud Developer, Machine Learning Specialty, Data Analytics Specialty), Docker, Kubernetes, CircleCI, Elastic Beanstalk, Apache Airflow **Programming & Software Development** * Proficient in Python, R, and SQL * Experienced in building and consuming RESTful APIs and GraphQL **Data Engineering & Big Data** * Skilled in Apache Spark, NoSQL databases (MongoDB, DynamoDB, Elasticsearch) * Experienced in building data pipelines, ETL processes, and optimizing data workflows **Data Analytics & Visualization** * Proficient in Power BI * Proficient Plotly, Bokeh, Matplotlib and Seaborn * Advanced statistical modeling using using R and statsmodels **Soft Skills** * Strong problem-solving ability, Agile/Scrum methodology, proven team leadership, and commitment to continuous learning **Languages** * Portuguese (Native), English (Fluent), French (Fluent), Spanish (Advanced), German (Advanced)
Vetted Google Cloud Speech-to-Text developer in Brazil (UTC-3)
Hands any time! Like a lot to develop Generative AI solutions (API development experience with ChatGPT/OpenAI, Whisper DL, AssemblyAI, DeepL, Bard, Bing, SageMaker) and own algorithms for computer vision and document classification. Proficient in Java, Python, Node.js, React, Angular, C#, .Net, Golang, and more. Experience in Machine Learning, Computer Vision, Engineering Management, Agile, Team Topology, Accelerate, Scaling Up, Scrum, Kanban, Business Strategy, Business Analysis, Software Design, Software Architecture, High Tech Design, Low Tech Design, Cloud Computing, AWS, GCP, Azure, Oracle Cloud, Software as a Service (SaaS), Bank as a Service (BaaS), PaaS, FaaS, Health systems and Manchester protocol, vast knowledge about Payments, Billing & Settlement, KYC/KYP, NFT, Blockchain, Event Driven, TDD, DDD, CQRS, GraphQL, Rest, Kafka, Pub/Sub, Pandas, TensorFlow, OpenCV, Scikit, Kotlin, Spring (Boot/Cloud/Data/Batch), MongoDB, Cassandra, Redis, DynamoDB, Postgres, MS-SQLServer, MySQL, Oracle, Sybase, Kubernetes, Docker, Rancher, CI/CD, Git, TOGAF, Alfresco, Nuxeo, Camunda, BPM, IBM Case Management, Weblogic, Websphere, JBoss, Quarkus, GraalVM, Microservice, SOLID, Design Patterns, NewRelic, ELK, Splunk, Datadog, Terraform, Robot Framework, OAuth, JKS, SSL, HMZ/DMZ, data encryption, caching, Oracle RDBMS, Jira, Confluence, Git, Miro, Figma, Asana, UiPath Robots, UiPath Orchestrator, OCR, TWAIN and so on
Vetted Google Cloud Speech-to-Text developer in Brazil (UTC-3)
**Senior Full Stack Software Engineer with over 8 years of professional experience in Software Development.** I have extensive experience in the **JavaScript** ecosystem (**Typescript**, **Node**, **Angular**, **Vue**, **Ionic**), **Golang**, and **Python**, building **scalable** and **high-quality** applications. I have been working in cloud environments, using mostly **AWS**, but also **GCP** and **Azure**, always using **Terraform** to control the infrastructure. I have worked for different companies, ranging from big techs (Uber), big banks with hundreds of thousands of employees (Santander) to small ones, where I developed alone the whole front end of the company’s application. **Leadership experience** is part of my curriculum as well, with experience in **Tech Lead** and **Engineering Manager** positions.
Vetted Google Cloud Speech-to-Text developer in Brazil (UTC-3)
Software Engineer with 9 years of experience and background in Economics and Business. Worked with Volkswagen in China and Amazon in Paris. Have been working as a freelancer/contractor for 5 years in NodeJS, Go, Rust, web interfaces (React, Vue), cloud services (AWS, GCP, Azure), third-party API integrations, database design and mobile apps. Juliano also has experience conducting interviews and mentoring developers (Amazon and freelance projects).
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Ready to hire your ideal Google Cloud Speech-to-Text developers?
Get startedArc offers pre-vetted remote software developers skilled in every programming language, framework, and technology.
Look through our popular remote developer specializations below.
Arc helps you build your team with our network of full-time and freelance Google Cloud Speech-to-Text developers worldwide.
We assist you in assembling your ideal team of programmers in your preferred location and timezone.
In today’s world, most companies have code-based needs that require developers to help build and maintain. For instance, if your business has a website or an app, you’ll need to keep it updated to ensure you continue to provide positive user experiences. At times, you may even need to revamp your website or app. This is where hiring a developer becomes crucial.
Depending on the stage and scale of your product and services, you may need to hire a Google Cloud Speech-to-Text developer, multiple engineers, or even a full remote developer team to help keep your business running. If you’re a startup or a company running a website, your product will likely grow out of its original skeletal structure. Hiring full-time remote Google Cloud Speech-to-Text developers can help keep your website up-to-date.
To hire a Google Cloud Speech-to-Text developer, you need to go through a hiring process of defining your needs, posting a job description, screening resumes, conducting interviews, testing candidates’ skills, checking references, and making an offer.
Arc offers three services to help you hire Google Cloud Speech-to-Text developers effectively and efficiently. Hire full-time Google Cloud Speech-to-Text developers from a vetted candidates pool, with new options every two weeks, and pay through prepaid packages or per hire. Alternatively, hire the top 2.3% of expert freelance Google Cloud Speech-to-Text developers in 72 hours, with weekly payments.
If you’re not ready to commit to the paid plans, our free job posting service is for you. By posting your job on Arc, you can reach up to 450,000 developers around the world. With that said, the free plan will not give you access to pre-vetted Google Cloud Speech-to-Text developers.
Furthermore, we’ve partnered with compliance and payroll platforms Deel and Remote to make paperwork and hiring across borders easier. This way, you can focus on finding the right Google Cloud Speech-to-Text developers for your company, and let Arc handle the logistics.
There are two types of platforms you can hire Google Cloud Speech-to-Text developers from: general and niche marketplaces. General platforms like Upwork, Fiverr, and Gigster offer a variety of non-vetted talents unlimited to developers. While you can find Google Cloud Speech-to-Text developers on general platforms, top tech talents generally avoid general marketplaces in order to escape bidding wars.
If you’re looking to hire the best remote Google Cloud Speech-to-Text developers, consider niche platforms like Arc that naturally attract and carefully vet their Google Cloud Speech-to-Text developers for hire. This way, you’ll save time and related hiring costs by only interviewing the most suitable remote Google Cloud Speech-to-Text developers.
Some factors to consider when you hire Google Cloud Speech-to-Text developers include the platform’s specialty, developer’s geographical location, and the service’s customer support. Depending on your hiring budget, you may also want to compare the pricing and fee structure.
Make sure to list out all of the important factors when you compare and decide on which remote developer job board and platform to use to find Google Cloud Speech-to-Text developers for hire.
Writing a good Google Cloud Speech-to-Text developer job description is crucial in helping you hire Google Cloud Speech-to-Text developers that your company needs. A job description’s key elements include a clear job title, a brief company overview, a summary of the role, the required duties and responsibilities, and necessary and preferred experience. To attract top talent, it's also helpful to list other perks and benefits, such as flexible hours and health coverage.
Crafting a compelling job title is critical as it's the first thing that job seekers see. It should offer enough information to grab their attention and include details on the seniority level, type, and area or sub-field of the position.
Your company description should succinctly outline what makes your company unique to compete with other potential employers. The role summary for your remote Google Cloud Speech-to-Text developer should be concise and read like an elevator pitch for the position, while the duties and responsibilities should be outlined using bullet points that cover daily activities, tech stacks, tools, and processes used.
For a comprehensive guide on how to write an attractive job description to help you hire Google Cloud Speech-to-Text developers, read our Software Engineer Job Description Guide & Templates.
The top five technical skills Google Cloud Speech-to-Text developers should possess include proficiency in programming languages, understanding data structures and algorithms, experience with databases, familiarity with version control systems, and knowledge of software testing and debugging.
Meanwhile, the top five soft skills are communication, problem-solving, time management, attention to detail, and adaptability. Effective communication is essential for coordinating with clients and team members, while problem-solving skills enable Google Cloud Speech-to-Text developers to analyze issues and come up with effective solutions. Time management skills are important to ensure projects are completed on schedule, while attention to detail helps to catch and correct issues before they become bigger problems. Finally, adaptability is crucial for Google Cloud Speech-to-Text developers to keep up with evolving technology and requirements.
You can find a variety of Google Cloud Speech-to-Text developers for hire on Arc! At Arc, you can hire on a freelance, full-time, part-time, or contract-to-hire basis. For freelance Google Cloud Speech-to-Text developers, Arc matches you with the right senior developer in roughly 72 hours. As for full-time remote Google Cloud Speech-to-Text developers for hire, you can expect to make a successful hire in 14 days. To extend a freelance engagement to a full-time hire, a contract-to-hire fee will apply.
In addition to a variety of engagement types, Arc also offers a wide range of developers located in different geographical locations, such as Latin America and Eastern Europe. Depending on your needs, Arc offers a global network of skilled software engineers in various different time zones and countries for you to choose from.
Lastly, our remote-ready Google Cloud Speech-to-Text developers for hire are all mid-level and senior-level professionals. They are ready to start coding straight away, anytime, anywhere.
Arc is trusted by hundreds of startups and tech companies around the world, and we’ve matched thousands of skilled Google Cloud Speech-to-Text developers with both freelance and full-time jobs. We’ve successfully helped Silicon Valley startups and larger tech companies like Spotify and Automattic hire Google Cloud Speech-to-Text developers.
Every Google Cloud Speech-to-Text developer for hire in our network goes through a vetting process to verify their communication abilities, remote work readiness, and technical skills. Additionally, HireAI, our GPT-4-powered AI recruiter, enables you to get instant candidate matches without searching and screening.
Not only can you expect to find the most qualified Google Cloud Speech-to-Text developer on Arc, but you can also count on your account manager and the support team to make each hire a success. Enjoy a streamlined hiring experience with Arc, where we provide you with the developer you need, and take care of the logistics so you don’t need to.
Arc has a rigorous and transparent vetting process for all types of developers. To become a vetted Google Cloud Speech-to-Text developer for hire on Arc, developers must pass a profile screening, complete a behavioral interview, and pass a technical interview or pair programming.
While Arc has a strict vetting process for its verified Google Cloud Speech-to-Text developers, if you’re using Arc’s free job posting plan, you will only have access to non-vetted developers. If you’re using Arc to hire Google Cloud Speech-to-Text developers, you can rest assured that all remote Google Cloud Speech-to-Text developers have been thoroughly vetted for the high-caliber communication and technical skills you need in a successful hire.
Arc pre-screens all of our remote Google Cloud Speech-to-Text developers before we present them to you. As such, all the remote Google Cloud Speech-to-Text developers you see on your Arc dashboard are interview-ready candidates who make up the top 2% of applicants who pass our technical and communication assessment. You can expect the interview process to happen within days of posting your jobs to 450,000 candidates. You can also expect to hire a freelance Google Cloud Speech-to-Text developer in 72 hours, or find a full-time Google Cloud Speech-to-Text developer that fits your company’s needs in 14 days.
Here’s a quote from Philip, the Director of Engineering at Chegg:
“The biggest advantage and benefit of working with Arc is the tremendous reduction in time spent sourcing quality candidates. We’re able to identify the talent in a matter of days.”
Find out more about how Arc successfully helped our partners in hiring remote Google Cloud Speech-to-Text developers.
Depending on the freelance developer job board you use, freelance remote Google Cloud Speech-to-Text developers' hourly rates can vary drastically. For instance, if you're looking on general marketplaces like Upwork and Fiverr, you can find Google Cloud Speech-to-Text developers for hire at as low as $10 per hour. However, high-quality freelance developers often avoid general freelance platforms like Fiverr to avoid the bidding wars.
When you hire Google Cloud Speech-to-Text developers through Arc, they typically charge between $60-100+/hour (USD). To get a better understanding of contract costs, check out our freelance developer rate explorer.
According to the U.S. Bureau of Labor Statistics, the medium annual wage for software developers in the U.S. was $120,730 in May 2021. What this amounts to is around $70-100 per hour. Note that this does not include the direct cost of hiring, which totals to about $4000 per new recruit, according to Glassdoor.
Your remote Google Cloud Speech-to-Text developer’s annual salary may differ dramatically depending on their years of experience, related technical skills, education, and country of residence. For instance, if the developer is located in Eastern Europe or Latin America, the hourly rate for developers will be around $75-95 per hour.
For more frequently asked questions on hiring Google Cloud Speech-to-Text developers, check out our FAQs page.