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Google Compute Engine developer in Brazil (UTC-3)
As a seasoned Software Engineer, I have been deeply engaged in all aspects of software development—from architecture and implementation to deployment and maintenance. My journey in this field began at the age of 12 when I started programming independently. Fascinated by the inner workings of software, I engaged in reverse engineering of x8086 architecture executables and developed hooks to modify these executables. This early exposure to complex programming concepts laid the foundation for my career. Self-taught and highly adept at learning new technologies swiftly, I have consistently advanced my skills to stay at the forefront of software engineering. I excel in designing robust system architectures and am proficient in both implementing these designs and deploying the finished systems into production environments. My ability to grasp complex systems quickly and my deep understanding of software mechanics are testaments to a lifelong passion for technology and a commitment to excellence in my field.
Vetted Google Compute Engine 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 Compute Engine developer in Brazil (UTC-4)
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 Compute Engine developer in Brazil (UTC-3)
I am a Data Scientist with 7 years of experience in machine learning and advanced analytics. As a generalist, I've worked on a variety of challenges, including clustering, regression, classification, and recommender systems, with a deep understanding of NLP. My expertise in Python, statistics, and SQL has been instrumental in driving product value and business success. I thrive in dynamic environments, continuously learning and collaborating to turn complex data into actionable insights.
Vetted Google Compute Engine developer in Brazil (UTC-3)
Data Scientist/ML Engineer with five years of experience and a firm grasp of machine learning principles. I excel in Python, PyTorch, SQL, Docker, and GCP/AWS. My main areas of expertise are computer vision, natural language processing, and generative AI.
Vetted Google Compute Engine developer in Brazil (UTC-3)
Data Scientist with experience in Machine Learning, data analysis, and data engineering. Implemented, trained and deployed state-of-the-art Deep Learning architectures such as Transformers, Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), and Generative Adversarial Networks (GANs), and fine-tuned pre-trained models (e.g. Google’s BERT and NVDIA’s WaveGlow), in addition to deploying classical Machine Learning algorithms such as Gradient Boosting and Multinomial Naive Bayes, for Natural Language Processing (NLP), computer vision, voice synthesis, credit risk, and predictive analytics applications, with international clients in the sectors of finance, healthcare, energy, and logistics.
Vetted Google Compute Engine developer in Brazil (UTC-3)
With over 6 years of experience in machine learning, I excel at extracting valuable insights from diverse datasets. My strong skills in python coding, statistics, and deep learning enable me to tackle complex problems effectively. Alongside my professional work, I nurture a passion for puzzles and actively participate in Kaggle competitions during my free time. Holding a master’s degree in AI, I am dedicated to leveraging my knowledge to build intelligent and scalable systems, with a particular focus on MLE. Furthermore, I have had the privilege of teaching machine learning, deep learning, and data science to hundreds of students, contributing to the growth and development of future professionals in the field.
Vetted Google Compute Engine developer in Brazil (UTC-3)
I'm a Full Stack Data Scientist from Brazil, with more than 4 years of professional experience in the field. As a Data scientist, I'm very experienced with Python, NLP and TensorFlow. Also, since I'm currently working at Central Bank of Brazil, I have plenty of experience in Finance. With my previous experiences and my specialized knowledge in both fields, I'm really confident that I can bring elegant solutions to develop the models that you need for your business.
Vetted Google Compute Engine developer in Brazil (UTC-3)
Hi! Do you want to know about my work experience? I love teaching programming, especially programming with Python. Work experience with projects, data engineering, and data science: * Work experience creating machine learning models, such as Demand Forecasting, Fraud in-app payments, House prices prediction, Delivery time model (ETA), consumer retention, and dynamic pricing of bottles; * Work experience with serverless infrastructure, API Rest, Lambda Functions (AWS), Azure Functions (Azure), and Cloud Functions (GCP); * Work experience creation ETL flow using Beautiful Soup, Requests and saving data inside a Data lake such as S3 or Amazon Redshift. After that, i created a data warehouse using Snowflake; * Work experience with Snowflake; * Work experience creating a Data Catalog, Data lineage, and Business glossary product; * Work experience in Data Visualization ( Tableau, Power BI, Data Studio ); * Work experience in data analyses; * Work experience implementing a governed data lake at the cloud ( GCP, AWS, Databricks); * Solid knowledge about Data Quality; \-Bachelor in Electronic Engineer and Data Science
Google Compute Engine developer in Brazil (UTC-3)
I am seeking new challenges in soft ware development, where I can contribute to the creation of innovative solutions that add value to clients and foster learning within development teams. I am passionate about challenges and technologies, and I began my studies in the field of computer science in 1994. Since then, I have been focusing my career on software development, designing, managing, and creating solutions that improve operational and financial processes, always utilizing the best available technologies to meet clients' needs. With over 20 years of experience working with various technologies and sectors of the market, I have held diverse roles, ranging from developer to project manager. I am constantly studying and enhancing my skills in new techniques, methodologies, programming languages, leadership, and communication for development teams. Over the past 3 years, I have been involved in Internet of Things (IoT) projects in the agriculture and healthcare sectors, developing control and management systems for industrial production lines, metrology systems for electrical energy, and software integration with hardware using communication protocols such as RS232, USB, RS485, Modbus, among others.
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Ready to hire your ideal Google Compute Engine 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 Compute Engine 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 Compute Engine 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 Compute Engine developers can help keep your website up-to-date.
To hire a Google Compute Engine 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 Compute Engine developers effectively and efficiently. Hire full-time Google Compute Engine 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 Compute Engine 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 Compute Engine 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 Compute Engine developers for your company, and let Arc handle the logistics.
There are two types of platforms you can hire Google Compute Engine 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 Compute Engine 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 Compute Engine developers, consider niche platforms like Arc that naturally attract and carefully vet their Google Compute Engine developers for hire. This way, you’ll save time and related hiring costs by only interviewing the most suitable remote Google Compute Engine developers.
Some factors to consider when you hire Google Compute Engine 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 Compute Engine developers for hire.
Writing a good Google Compute Engine developer job description is crucial in helping you hire Google Compute Engine 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 Compute Engine 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 Compute Engine developers, read our Software Engineer Job Description Guide & Templates.
The top five technical skills Google Compute Engine 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 Compute Engine 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 Compute Engine developers to keep up with evolving technology and requirements.
You can find a variety of Google Compute Engine 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 Compute Engine developers, Arc matches you with the right senior developer in roughly 72 hours. As for full-time remote Google Compute Engine 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 Compute Engine 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 Compute Engine 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 Compute Engine developers.
Every Google Compute Engine 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 Compute Engine 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 Compute Engine 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 Compute Engine 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 Compute Engine developers, you can rest assured that all remote Google Compute Engine 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 Compute Engine developers before we present them to you. As such, all the remote Google Compute Engine 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 Compute Engine developer in 72 hours, or find a full-time Google Compute Engine 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 Compute Engine developers.
Depending on the freelance developer job board you use, freelance remote Google Compute Engine developers' hourly rates can vary drastically. For instance, if you're looking on general marketplaces like Upwork and Fiverr, you can find Google Compute Engine 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 Compute Engine 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 Compute Engine 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 Compute Engine developers, check out our FAQs page.