Hire the Top 2% of
Remote Docker Machine Developers
in Brazil

Dan M.

Vetted Docker Machine developer in Brazil (UTC-3)

Forward-thinking Software Engineer with 5+ years of experience, specializing in Large Language Models (LLMs), Al Applications. Combining strong Full-Stack Development background with advanced Al technologies to build innovative solutions from design through deployment. Focused on developing intelligent systems using LLMs, RAG, and agentic frameworks for workflow optimization and real-time solutions. With a strong focus on Test-Driven Development (TDD) and expertise on scalable architectures and cloud integration, Dan is currently advancing expertise in Generative Al and Agentic AI while pursuing projects in automated workflows and AI-driven applications. Visit my GitHub repository: https://github.com/danfmaia?tab=repositories :: HARD SKILLS :: 🤖 Machine Learning & GenAI: - Agentic AI: LangGraph, crewAI, AG2 (formerly AutoGen) - Patterns: RAG, Fine-Tuning, PEFT, RLHF, NLP - LLM Tools/Platforms: LangChain, LlamaIndex, Hugging Face, Ollama, Abacus.AI - ML Frameworks: PyTorch, TensorFlow - Favorite Models: claude-3.5-sonnet, gpt-4o, o1-preview, llama-3.2, code-llama 🖥️ Programming & Development: - Languages: Python, TypeScript, Dart, HTML/CSS, C#, Kotlin, Markdown - Backend: FastAPI, Flask, Node.js, NestJS, Express.js - Data Validation & Serialization: Pydantic, dataclasses - Testing: TDD, Pytest, Jest, Mockito - Design/Architecture: Clean, SOLID, BDD, Microservices - AI/ML UI: Streamlit, Gradio, TensorFlow.js - Web: React, Next.js, Angular, MkDocs - Mobile: Flutter, React Native - State Management: Redux, Context API, BLoC, Cubit - Productivity: Cursor, AI Assistants/Agents, Prompt Engineering, Flow Engineering, Obsidian - UX/UI: Figma, Adobe XD 💼 Productivity: Git, GitHub, Cursor, Obsidian, Jira, Prompt Engineering 🗄️ Databases & Data Management: - SQL/NoSQL: Postgres, MySQL, MongoDB, Cassandra - ORMs: SQLAlchemy - Vector stores: Weaviate, Faiss, Chroma ☁️ Cloud & DevOps: - Cloud Platforms: AWS (EC2, S3, Route 53), GCP, Firebase, Azure, Vercel, Railways - DevOps Tools: Docker, Kubernetes, Terraform (IaC) :: SOFT SKILLS :: Critical thinking, Problem solving, Innovation, Communication, Collaboration --- I'm interested in Language Learning and Education apps. You can explore my personal project at www.ewdproject.org. I’m actively looking for new projects, and I’m eager to bring innovative solutions to the table. 📄 My full resume available in the Featured section below.

Luis C.

Vetted Docker Machine 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

Gabriel R.

Vetted Docker Machine developer in Brazil (UTC-3)

As a Software Engineer with a strong foundation in backend development, DevOps, and system architecture, I specialize in building scalable, high-performance applications using .NET (C#), Python, and Node.js. With a deep understanding of SQL and NoSQL databases (SQL Server, PostgreSQL, MongoDB, and Redis), I design and optimize data-driven systems to enhance efficiency and reliability. My experience at XP Inc. and Credit Suisse has honed my ability to solve complex engineering challenges, from optimizing financial transactions to implementing resilient payment systems. I have a proven track record of reducing system incidents, improving deployment security through DevOps best practices (Azure, Kubernetes, Docker, Jenkins CI/CD), and driving business impact by enhancing customer experiences. Beyond backend expertise, I have hands-on experience with front-end technologies like React, TypeScript, and JavaScript, enabling me to contribute to full-stack solutions. Passionate about system design, distributed architectures, and automation, I strive to develop software that is robust, scalable, and maintainable. Always eager to learn and innovate, I thrive in fast-paced environments where technology meets business impact.

Bruno T.

Vetted Docker Machine developer in Brazil (UTC-3)

Senior AI/MLOps Engineer with 8+ years of experience building and deploying enterprise-scale machine learning solutions. Demonstrated success bridging the gap between data science and production operations, accelerating delivery through CI/CD best practices, and optimizing the full ML lifecycle. Skilled at architecting MLOps systems, containerization with Kubernetes and cloud orchestration. Adept at working in Agile environments, collaborating with cross-functional teams, and translating business needs into robust ML architectures that scale.

Iwá D.

Vetted Docker Machine developer in Brazil (UTC-3)

I am a skilled Full Stack Developer with expertise in web development, microcontrollers, and various programming languages. I have experience in software engineering, AI development, and DevOps practices.

Fernando N.

Vetted Docker Machine developer in Brazil (UTC-3)

Results-driven Data Science/Engineer with a proven track record of leveraging data-driven insights to drive business growth and innovation. Proficient in a wide range of data analysis and machine learning techniques, with a strong foundation in programming, statistics, and data visualization. Experienced in designing and implementing end-to-end data pipelines, from data collection and preprocessing to model development and deployment. Adept at collaborating with cross-functional teams to solve complex problems and communicate findings effectively to both technical and non-technical stakeholders. Seeking an opportunity to apply my expertise in data science and engineering to contribute to the success of a forward-thinking organization.

Luis A.

Vetted Docker Machine 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.

Paulo A.

Vetted Docker Machine developer in Brazil (UTC-3)

Hi, I'm Paulo! As a dynamic Data Engineer and Senior Data Specialist with over 12 years in the tech industry, my career has been shaped not just by technology, but by a genuine curiosity to solve complex problems. Starting from my foundation in Production Engineering and further expanding through a postgraduate degree in Software Engineering, I’ve always been fascinated by how data can drive impactful business results. My journey has taken me through diverse challenges, from building ETL pipelines that scale across different platforms to automating workflows using Power Automate and creating custom applications with Power Apps. But what truly motivates me is seeing the real-world impact these solutions have on organizations and teams. Currently, as a Senior Data Specialist at CI&T, I’m diving deeper into Azure Data Factory, Apache Spark, and distributed computing to drive even greater innovation. I thrive in collaborative environments, having worked closely with cross-functional teams to ensure data architectures align with business goals, leading to successful projects and lasting partnerships with clients around the world. Beyond the tech, I’m passionate about continuous learning. I’m currently pursuing certifications in Microsoft Azure Data Engineering and GCP Professional Data Engineering to keep pushing my limits.

Marlon W.

Vetted Docker Machine 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.

Ramon L.

Vetted Docker Machine 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.