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Vetted Machine Learning Research developer in Brazil (UTC-3)
DataScientist/Engineer currently residing in Brazil, with experience in analyzing data and developing algorithms for discovering solutions to challenging problems. Passionate about seeing how understanding of data can bring about real change in our perspectives and lives.
Vetted Machine Learning Research developer in Brazil (UTC-3)
With over 15 years of professional experience, I have a strong data science background and deep expertise in Artificial Intelligence (AI) as a Senior Applied Data Science Researcher, holding both a master’s and a doctorate in AI. At Dell Technologies, I currently lead applied research initiatives in Multimodal Large Language Models (MLLMs), on the intersection of Generative AI (GenAI), Computer Vision, and Natural Language Processing (NLP). My work spans the full AI lifecycle, from dataset creation, model fine-tuning, deploy to API service integration and interface visualization, delivering state-of-the-art, end-to-end AI solutions. Prior to my role at Dell, since 2008, I have been applying machine learning and AI algorithms in applications across various industries.
Vetted Machine Learning Research developer in Brazil (UTC-3)
I am a Full-Stack / Machine Learning Engineer with around 2 years of hands-on experience at a startup, where I have been deeply involved in building end-to-end software solutions powered by Computer Vision and Machine Learning. I have extensive expertise in developing high-performance **FastAPI APIs**, a strong grasp of database design and management, and advanced proficiency in Machine Learning, from model development to deployment. Over the past 3 years, I have worked with a diverse range of technologies, including **Docker**, **FastAPI**, **RabbitMQ**, **OpenCV**, **C++**, **TensorFlow**, **ONNX**, **React**, **TailwindCSS**, **CMake**, **AWS Lambda**, **AWS EC2**, **PostgreSQL**, **DynamoDB**, **MongoDB**, and more. My role at a startup has provided me with comprehensive experience in the entire lifecycle of Machine Learning projects—from data collection and model training to deployment and scaling. With a solid understanding of both backend and frontend development, as well as cloud infrastructure, I bring a versatile skill set to any team and thrive in dynamic, fast-paced environments.
Vetted Machine Learning Research developer in Brazil (UTC-3)
I am a Research scientist in machine learning and computer vision. I received a B.S. in Electrical Engineering in 2008, M.S. in Computer Engineering in 2015, and Ph.D. in Computer Engineering in 2020. I also worked as an instrumentation engineer at Chemtech - A Siemens Company from 2008-2010 and as a solar energy engineer at Gas Technology Center and Renewable Energy (CTGAS-ER) from 2011-2013.
Vetted Machine Learning Research developer in Brazil (UTC-3)
Machine learning engineer with 4 years of expertise in Tensorflow and Pytorch environments using Python. Proficient in the creation of machine learning solutions in a variety of fields. Throughout furthermore, I have worked with BI and Oracle SQL to create dynamic visuals. I am Master in Computer Engineering, with the research line Soft Computing and Artificial Intelligence. Currently I am PhD candidate in computer science with emphasis on computer vision and artificial intelligence through the use of NLP and image classification structures. I worked with Deep Learning Network studying architectures for image restoration and applying knowledge of fuzzy theory inside the computer vision area. I received two awards for best paper at international congresses for modeling a new mathematical concept within the pooling layer of neural networks. Skills/Interests: Python, Deep Learning Networks, Computer Vision, Tensorflow, Pytorch, Data Analysis, Data Engineering.
Vetted Machine Learning Research developer in Brazil (UTC-3)
AI Engineer specializing in Chatbot Development, Generative AI, NLP, and LLMs. Extensive experience with Google Cloud Platform (GCP), Vertex AI, LangChain, and end-to-end chatbot implementations using Dialogflow CX. Passionate about applying AI to solve real-world problems, with a strong impact on mental health and customer engagement.
Vetted Machine Learning Research developer in Brazil (UTC-3)
I work on Computational Biology, and have developed algorithms for dealing with protein functions and their interactions and biological processes. I have more than a decade of experience as a Back-end developer and I am an expert at integrating a complex system to APIs and web platforms.
Vetted Machine Learning Research 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 Machine Learning Research developer in Brazil (UTC-3)
I am a senior data scientist, a leading company in the field of artificial intelligence applied to human resources. With over five years of experience in data science and machine learning, I have a strong passion for solving real-world problems using data. I thrive on extracting value from data through the scientific method, applying machine learning and deep learning techniques. My expertise lies in statistical analysis, including exploratory data analysis and hypothesis testing. I have worked on challenging projects, developing and implementing models to provide valuable insights for business decisions. I excel at storytelling and have the ability to create descriptive and predictive models that reveal valuable insights for the business. I also have a special interest in time series forecasting, enabling organizations to make informed decisions based on future trends. In terms of technical skills, I am proficient in Python, SQL, AWS, and Docker. These tools enable me to manipulate and analyze data efficiently, ensuring accurate and reliable results. Additionally, I have experience in MLOps, which allows me to deploy, monitor, and maintain machine learning models in production environments.
Vetted Machine Learning Research 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.
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Ready to hire your ideal Machine Learning Research 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 Machine Learning Research 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 Machine Learning Research 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 Machine Learning Research developers can help keep your website up-to-date.
To hire a Machine Learning Research 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 Machine Learning Research developers effectively and efficiently. Hire full-time Machine Learning Research 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 Machine Learning Research 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 Machine Learning Research 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 Machine Learning Research developers for your company, and let Arc handle the logistics.
There are two types of platforms you can hire Machine Learning Research 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 Machine Learning Research 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 Machine Learning Research developers, consider niche platforms like Arc that naturally attract and carefully vet their Machine Learning Research developers for hire. This way, you’ll save time and related hiring costs by only interviewing the most suitable remote Machine Learning Research developers.
Some factors to consider when you hire Machine Learning Research 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 Machine Learning Research developers for hire.
Writing a good Machine Learning Research developer job description is crucial in helping you hire Machine Learning Research 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 Machine Learning Research 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 Machine Learning Research developers, read our Software Engineer Job Description Guide & Templates.
The top five technical skills Machine Learning Research 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 Machine Learning Research 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 Machine Learning Research developers to keep up with evolving technology and requirements.
You can find a variety of Machine Learning Research developers for hire on Arc! At Arc, you can hire on a freelance, full-time, part-time, or contract-to-hire basis. For freelance Machine Learning Research developers, Arc matches you with the right senior developer in roughly 72 hours. As for full-time remote Machine Learning Research 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 Machine Learning Research 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 Machine Learning Research developers with both freelance and full-time jobs. We’ve successfully helped Silicon Valley startups and larger tech companies like Spotify and Automattic hire Machine Learning Research developers.
Every Machine Learning Research 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 Machine Learning Research 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 Machine Learning Research 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 Machine Learning Research 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 Machine Learning Research developers, you can rest assured that all remote Machine Learning Research 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 Machine Learning Research developers before we present them to you. As such, all the remote Machine Learning Research 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 Machine Learning Research developer in 72 hours, or find a full-time Machine Learning Research 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 Machine Learning Research developers.
Depending on the freelance developer job board you use, freelance remote Machine Learning Research developers' hourly rates can vary drastically. For instance, if you're looking on general marketplaces like Upwork and Fiverr, you can find Machine Learning Research 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 Machine Learning Research 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 Machine Learning Research 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 Machine Learning Research developers, check out our FAQs page.