Your trusted source for top remote Google ai platform developers, engineers, expert programmers, freelancers, and consultants in Brazil — Perfect for startups and enterprises.
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Vetted Google ai platform developer in Brazil (UTC-3)
Intel AI Innovator, with over 5 years of experience as a Computer Vision and Machine Learning Engineer, I specialize in building cutting-edge AI solutions for civil engineering, human safety, tech consulting, and consumer electronics industries. I’ve led full-scale AI projects, managing everything from data curation and model training to MLOps and edge optimization, delivering scalable systems with real-world impact. My expertise spans Python, C++, TensorFlow, PyTorch, OpenCV, Open3D, and cloud platforms like GCP and AWS. I optimize performance, utilize C++ for real-time processing, and deploy highly efficient models on edge devices with TensorRT, ONNX, and OpenVINO. My work in 3D reconstruction, point cloud processing, and object tracking showcases my ability to integrate advanced techniques such as synthetic data generation and self-supervised learning. Graduating summa cum laude in Computer Engineering, and as a recognized member of the Intel AI Innovators program, I combine my technical depth with a passion for AI innovation. I am committed to driving impactful AI solutions that help businesses leverage the full potential of computer vision and machine learning. Skills: Python | C++ | OpenCV | Open3D | PyTorch | TensorFlow | Docker | OpenMMLab | TensorRT | ONNX | OpenVINO | GCP | AWS | Intel AI Innovator
Vetted Google ai platform developer in Brazil (UTC-3)
Senior FullStack developer, primarily backend, almost a decade working with startup fast paced environment and with strong experience with Node.js, TypeScript, NestJS and Express and all major frontend frameworks, React and Vue 3, also have been working with sql and NoSql mainly MongoDB, PostgreSQL and SQL. Always striving to deliver high quality, clean, simple and manutenable code, aiming scalable and useful solutions for business problems. Great experience with 3rd party rest integrations and rest applications, along with CI/CD pipelines using Github Actions and GCP Cloud Run and AWS ECR.
Vetted Google ai platform developer in Brazil (UTC-4)
Software engineer and Java developer for the last 8 years. Mainly worked as a back-end engineer, with a few projects as full stack. I’m an enthusiast when it comes to learning new technologies and teaching what I already have a solid knowledge of. I’m extremely easy to work with, I pick up the pace of each place very fast and I always try to perfect my work as much as possible.
Vetted Google ai platform developer in Brazil (UTC-3)
As a Data Engineer with over 5 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 ai platform developer in Brazil (UTC-3)
I have experience in research, data science, and machine learning. I have worked on projects related to deep learning, renewable energy, and dynamic discount algorithms. My education includes a PhD in Mathematical Modelling and a MicroMasters in Statistics and Data Science.
Google ai platform developer in Brazil (UTC-3)
**Accomplished Infrastructure Engineer with over six years of experience delivering high‐quality, scalable, and reliable IT solutions.** Proven expertise in Infrastructure Engineering, Solutions Architecture, SRE, and DevOps, with a strong trackrecord of designing, provisioning, and maintaining secure systems. Possessing a deep understanding of various industries, including information, retail, and transportation, Jonas has successfully executed projects of varying scope andcomplexity. Currently expanding his skillset in AI and Machine Learning, Jonas is proficient in architecting Generative AI projects while leveraging these technologies to optimize Infrastructure, SRE, and DevOps workflows.
Vetted Google ai platform developer in Brazil (UTC-3)
Data Scientist with a strong background in systems analysis and development, complemented by a postgraduate degree in Artificial Intelligence applied to industry. Over the years, I have transitioned from front-end and full-stack development to specializing in data science, machine learning, and AI. My expertise spans across computer vision, natural language processing (NLP), and large-scale data analytics, with hands-on experience in Python, PySpark, SQL, and cloud platforms like AWS and Azure. I have a proven track record of delivering innovative AI solutions, from developing predictive models and optimizing machine learning pipelines to deploying scalable AI systems in production. My career is driven by a passion for solving complex business challenges through data-driven insights and cutting-edge AI technologies. I aspire to continue pushing the boundaries of AI, contributing to impactful projects that leverage machine learning and deep learning to drive business growth and innovation.
Vetted Google ai platform 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).
Vetted Google ai platform developer in Brazil (UTC-3)
As a Computer Vision and AI specialist, my track record is packed with challenging projects and tangible results. Currently a Senior AI engineer at Flopo, I develop data anonymization solutions and 3D model generation using Deep learning and advanced Computer Vision techniques like Diffusion Models and Gaussian Splatting. I also optimize workflows and deploy models in production using GCP and Docker. At Coppetec, Petrobras, I worked on Deep learning models for seismic image denoising, leveraging PyTorch and TensorFlow, and managed distributed HPC training with SLURM. This work led to a publication on Springer, Mathematical Geosciences. My Msc research in Computer Vision included object detection, aerial image processing, and synthetic frame generation with GANs and Diffusion Models. I also contributed to medical image processing at the D'or Institute. I’m currently pursuing a PhD in AI & Computer Vision, focusing on 3D Deep learning. My technical expertise and ability to deliver innovative solutions make me a strong candidate for your team. (also, I learn things very quickly)
Vetted Google ai platform developer in Brazil (UTC-3)
Data Scientist with solid academic background and extensive experience in multidisciplinary projects, specialized in the development of solutions based on intelligent systems. With a Master's degree in Control and Automation Engineering from IFES, I have experience in all stages of the data life cycle, from collection and processing to deployment, including the construction of predictive models and decision support systems. Driven by data, I develop analyses and create models that transform large volumes of information into valuable insights, generating measurable impact for the business. Practical experience in: \- Development of embedded systems \- Development and integration of machine learning models \- Use of computer vision and signal processing techniques for problem-solving \- Containers using Docker to facilitate the deployment of solutions \- Development of APIs for model integration \- Leading teams in research and development projects, always focusing on technological innovation and delivery of results. Main skills: Machine Learning, Deep Learning, TensorFlow/Keras, Scikit-learn, Python, FastAPI, Pandas, Docker, MLFlow, Computer Vision, Signal Processing.
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Ready to hire your ideal Google ai platform 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 ai platform 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 ai platform 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 ai platform developers can help keep your website up-to-date.
To hire a Google ai platform 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 ai platform developers effectively and efficiently. Hire full-time Google ai platform 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 ai platform 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 ai platform 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 ai platform developers for your company, and let Arc handle the logistics.
There are two types of platforms you can hire Google ai platform 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 ai platform 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 ai platform developers, consider niche platforms like Arc that naturally attract and carefully vet their Google ai platform developers for hire. This way, you’ll save time and related hiring costs by only interviewing the most suitable remote Google ai platform developers.
Some factors to consider when you hire Google ai platform 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 ai platform developers for hire.
Writing a good Google ai platform developer job description is crucial in helping you hire Google ai platform 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 ai platform 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 ai platform developers, read our Engineer Job Description Guide & Templates.
The top five technical skills Google ai platform developers should possess include proficiency in programming languages, understanding data structures and algorithms, experience with databases, familiarity with version control systems, and knowledge of 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 ai platform 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 ai platform developers to keep up with evolving technology and requirements.
You can find a variety of Google ai platform 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 ai platform developers, Arc matches you with the right senior developer in roughly 72 hours. As for full-time remote Google ai platform 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 engineers in various different time zones and countries for you to choose from.
Lastly, our remote-ready Google ai platform 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 ai platform 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 ai platform developers.
Every Google ai platform 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 ai platform 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 ai platform 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 ai platform 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 ai platform developers, you can rest assured that all remote Google ai platform 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 ai platform developers before we present them to you. As such, all the remote Google ai platform 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 ai platform developer in 72 hours, or find a full-time Google ai platform 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 ai platform developers.
Depending on the freelance developer job board you use, freelance remote Google ai platform developers' hourly rates can vary drastically. For instance, if you're looking on general marketplaces like Upwork and Fiverr, you can find Google ai platform 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 ai platform 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 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 ai platform 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 ai platform developers, check out our FAQs page.