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Vetted Deep Learning 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 Deep Learning 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 Deep Learning developer in Brazil (UTC-3)
Experienced Research And Development Specialist with a demonstrated history of working in the computer software industry and academy. Skilled in topics such as Machine Learning, Computer Vision, Software Engineering, and System Architecture. Strong engineering professional graduated from Universidade Estadual de Campinas.
Vetted Deep Learning 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 Deep Learning developer in Brazil (UTC-3)
I am an Engineer experienced in Python, having worked on multiple applications, ranging from academic research (embedded circuits and time series modeling) to industrial (logistics, finance market, and speech recognition). **TECH STACK** Python: ○ Flask, SQLAlchemy, FastAPI, DRF ○ Pandas, Numpy, Scipy ○ Scrapy ○ Matplotlib, Seaborn, Dash, Plotly ○ Jupyter, Ipython ○ Pytest / TDD ○ Pyspark ○ Keras, TF, Pytorch Databases: ○ PostgreSQL, MySQL DevOps: ○ Jenkins, Docker, Git Cloud: ○ AWS and GCP **COURSES AND CERTIFICATIONS** Database Design and Basic SQL in PostgreSQL Applied Machine Learning in Python Applied Plotting, Charting & Data Representation in Python Neural Networks and Deep Learning Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization Structuring Machine Learning Projects Natural Language Processing with Probabilistic Models Natural Language Processing with Classification and Vector Spaces Python Data Structures Using Databases with Python Object-Oriented Programming Laboratory
Vetted Deep Learning 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 Deep Learning developer in Brazil (UTC-3)
Hello, I am a senior data scientist with experience in data science, machine learning, deep learning, and optimization. My expertise includes designing and evaluating recommender systems for co-founder matchmaking, building PySpark pipelines, and creating product categorization models for millions of products. I am also skilled in teaching and leadership, having founded the data science department of an online e-learning startup, where I developed and taught a course on data science and machine learning. Additionally, I have consulted on various AI projects, including applying MLOps to a real estate valuation model and segmenting medical questions into topics using deep learning-based methods like BERT + k-means. I have a Master of Science in Electrical Engineering with a focus on optimization applied to non-intrusive load monitoring. I have also received certifications in Deep Learning from the University of San Francisco and have completed a summer research project at Carnegie Mellon University. Overall, I am passionate about data science and always looking to take on new challenges and learn from others.
Vetted Deep Learning developer in Brazil (UTC-3)
MSc in Economics and Econometrics, BS in Electronic Engineering, with a specialization in Business Analytics and certifications in Deep Learning and Generative AI. Accomplished Data Science Leader with over a decade of experience in leadership and senior technical roles. Combines deep expertise in software engineering with a proven track record of driving impactful, data-driven solutions.
Vetted Deep Learning developer in Brazil (UTC-3)
Innovative and results-driven Data Scientist with comprehensive experience in machine learning, deep learning, and data-driven insights across multiple industries. Proven track record in developing predictive models and optimization solutions, resulting in cost savings and increased production efficiency. Skilled at cross-functional collaboration, data storytelling, and mentoring, with a focus on implementing data science to drive strategic business decisions and operational improvements.
Vetted Deep Learning 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.
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Ready to hire your ideal Deep Learning 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 Deep Learning 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 Deep Learning 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 Deep Learning developers can help keep your website up-to-date.
To hire a Deep Learning 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 Deep Learning developers effectively and efficiently. Hire full-time Deep Learning 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 Deep Learning 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 Deep Learning 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 Deep Learning developers for your company, and let Arc handle the logistics.
There are two types of platforms you can hire Deep Learning 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 Deep Learning 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 Deep Learning developers, consider niche platforms like Arc that naturally attract and carefully vet their Deep Learning developers for hire. This way, you’ll save time and related hiring costs by only interviewing the most suitable remote Deep Learning developers.
Some factors to consider when you hire Deep Learning 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 Deep Learning developers for hire.
Writing a good Deep Learning developer job description is crucial in helping you hire Deep Learning 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 Deep Learning 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 Deep Learning developers, read our Software Engineer Job Description Guide & Templates.
The top five technical skills Deep Learning 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 Deep Learning 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 Deep Learning developers to keep up with evolving technology and requirements.
You can find a variety of Deep Learning developers for hire on Arc! At Arc, you can hire on a freelance, full-time, part-time, or contract-to-hire basis. For freelance Deep Learning developers, Arc matches you with the right senior developer in roughly 72 hours. As for full-time remote Deep Learning 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 Deep Learning 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 Deep Learning developers with both freelance and full-time jobs. We’ve successfully helped Silicon Valley startups and larger tech companies like Spotify and Automattic hire Deep Learning developers.
Every Deep Learning 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 Deep Learning 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 Deep Learning 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 Deep Learning 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 Deep Learning developers, you can rest assured that all remote Deep Learning 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 Deep Learning developers before we present them to you. As such, all the remote Deep Learning 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 Deep Learning developer in 72 hours, or find a full-time Deep Learning 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 Deep Learning developers.
Depending on the freelance developer job board you use, freelance remote Deep Learning developers' hourly rates can vary drastically. For instance, if you're looking on general marketplaces like Upwork and Fiverr, you can find Deep Learning 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 Deep Learning 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 Deep Learning 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 Deep Learning developers, check out our FAQs page.