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Vetted AI Image Generation 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 AI Image Generation developer in Brazil (UTC-3)
Data Scientist with over 5 years of experience working on multiple lines of business. My main stack is Python and I've worked with multiple machine learning algorithms, data anaysis and visualization, hypothesis testing (A/B testing), statistical analysis and data engineering work. Since I have an engineering backgound, problem solving comes naturally for me.
AI Image Generation developer in Brazil (UTC-3)
A graduate student who is enrolled in the Data Science and Bioinformatics. Dedicated to software engineering, having four years of expertise, and specializing in machine learning and back-end development. Searching mostly for Machine Learning, Data Scientist, and Python Development positions.
AI Image Generation 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.
AI Image Generation developer in Brazil (UTC+1)
Computer Vision and Machine Learning Engineer with almost 5 years of experience, specialized in developing innovative solutions and optimize process through computer vision. My background includes geospatial data science, applying image processing and machine learning techniques for remote sensing aplications. Additionally, I have knowledge of embedded systems, enabling me to deploy computer vision solutions at the edge. I've contributed on projects involving all the machine learning engineering workflow, from data collection and model training to deployment in production environments. Highlighted Expertises: \- Data Science \- Geospatial Data Science \- Data Engineering \- Machine Learning (ML) \- Artificial Intelligence (AI) \- Computer Vision (CV) \- Remote Sensing \- Image Processing \- Geographic Information System (GIS) \- Embedded Systems \- Python Programming \- C++ Programming \- Java Programming \- Object-Oriented Programming (OOP) Hands-on expertise: \- Frameworks/applications: Tensorflow, Keras, NumPy, Pandas, GeoPandas, OpenCV, scikit-image, Python Imageing Library, scikit-learn, Matplotlib, QGIS, Jupyter-Notebook, Git, VS-Code, Qt Creator, PyQt, Android Studio, Jira, Kanban, Flask, PyTorch. \- Cloud: Google Cloud Professional Data Engineer Certified, AWS. \- Artificial Inteligence and Machine Learning: Deep Learning, Feature Engineering, Regression, Classification, Object Detection, Convolution Neural Network, YOLO, VGG. \- Drones and UAV related: DJI Mavic Air, DJI Matrice - M210. DJI Mobile SDK, Onboard SDK and UX SDK. \- Languages: Python, C++, Java, C. \- Single-board-computers and embedded systems related: Nvidia Jetson Nano, Raspberry Pi, BeagleBone, Intel Neural Computer Stick.
AI Image Generation developer in Brazil (UTC-3)
I have a bachelor's degree in Materials Engineering, a master's degree and a doctoral degree in Mechanical Engineering. I am currently working as a machine learning engineer, developing deep learning models for computer vision tasks. I have experience in Python and various libraries, as well as experience in research and teaching.
AI Image Generation developer in Brazil (UTC-3)
I am a Web Developer with a focus on ReactJS and a background in Software Engineering from UnB and Game Development from UniCEUB. Initially, I acquired a significant portion of my programming knowledge while developing games. Later, I transitioned into the Web field, where I recognized its potential and found job satisfaction. My goal is to enhance my skills, specialize as a developer, and master the technologies used, while contributing with proactivity, responsibility, commitment, and dedication to the team.
Vetted AI Image Generation 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)
Amazon
Vetted AI Image Generation developer in Brazil (UTC-3)
Full Stack Developer • FE, BE, DevOps Engineer Senior Hello, my name is Thiago! » GitHub ................................ https://lnkd.in/dPUN55RK Programming Languages ▕ Strong: Python, Javascript, TypeScript ▕ Advanced: Golang (Go), Java Frontend ▕ Js: Redux, React ▕ Ts: Next.js, Nest.js ▕ Styling: CSS, SCSS, SASS, Tailwind CSS Backend ▕ Relational Databases: SQL, MySQL, PostgreSQL, Prisma ▕ NoSQL: Cassandra, MongoDB, Redis, Memcached, Vector Database, Pinecone ▕ Graphs Algorithms, Databases: Neo4j ▕ Misc: Workflows, kubeflow, Apache Airflow, Temporal ▕ Py Frameworks: REST API: Flask, Django, DRF, FastAPI, Streamlit ▕ Js Frameworks: Node.js, Express, GraphQL, Apollo, Vite Testing ▕ Automated Testing, Unit, Integration and e2e Test. ▕ Python (pytest, unittest); JavaScript/TypeScript (Jest, ts-jest, Mocha, Chai, Supertest) ▕ FrontEnd: React Testing Library, Enzyme and Cypress DevOps ▕ DevOps, CI/CD and GitOps ▕ Docker, Kubernetes, Helm, ArgoCD, Istio, Prometheus, Grafana, Nginx ▕ Jenkins, Ansible, Github Actions, Terraform, HDL ▕ Elastic Stack (ELK) : Elasticsearch, Kibana, Logstash, Fluentd AWS ▕ AWS EC2, ECS, S3, EKS, Fargate, RDS, SQS, SQN, Lambda and Serverless ▕ AI Platform, DynamoDB, Frameworks, Services ▕ ML - Machine Learning: Sagemaker, Architecture, Pipelines, Model Training, Testing, Deployment, Serving and Monitoring Other cloud computing ▕ Google Cloud (GCP), Microsoft Azure - x - Web Design ▕ Web Design: UX, UI, Figma, MUI, Material UI Mobile ▕ React Native Algorithms and System Design ▕ Microservices, Event-Driven Architecture, SOAP, Websockets, Streaming and RESTful API’s ▕ Sorting (QuickSort, MergeSort), Searching (Binary Search, DFS, BFS), Graph (Dijkstra’s, A), Dynamic Programming, Hashing, Greedy, Divide and Conquer, Backtracking, etc - x - Artificial Intelligence (AI) ▕ Classic Algorithms, Deep Learning, Transformers ▕ TensorFlow, Pytorch, NLP ▕ Computer Vision, Recommender Systems Generative AI (GenAI) ▕ LLM, LLMOps, Langchain, AWS Bedrock ▕ AI Agents, Multi-Agent and AgentOps ▕ LangGraph, CrewAI, AutoGen, LangSmith
Microsoft
Vetted AI Image Generation developer in Brazil (UTC-3)
Hello, my name is Thiago! +8 years Full Stack developer. Programming Languages ▕ Strong: Python, Javascript, TypeScript ▕ Advanced: Golang (Go), Java Frontend ▕ Js: Redux, React ▕ Ts: Next.js, Nest.js ▕ Styling: CSS, SCSS, SASS, Tailwind CSS Backend ▕ Relational Databases: SQL, MySQL, PostgreSQL, Prisma ▕ NoSQL: Cassandra, MongoDB, Redis, Memcached, Vector Database, Pinecone ▕ Graphs Algorithms, Databases: Neo4j ▕ Misc: Workflows, Apache Airflow, Temporal ▕ Py Frameworks: REST API: Flask, Django, DRF, FastAPI, Streamlit ▕ Js Frameworks: Node.js, Express, GraphQL, Apollo, Vite Testing ▕ Automated Testing, Unit, Integration and e2e Test. ▕ Python (pytest, unittest); JavaScript/TypeScript (Jest, ts-jest, Mocha, Chai, Supertest) ▕ FrontEnd: React Testing Library, Enzyme and Cypress DevOps ▕ DevOps, CI/CD and GitOps ▕ Docker, Kubernetes, Helm, ArgoCD, Istio, Prometheus, Grafana, Nginx ▕ Jenkins, Ansible, Github Actions, Terraform, HDL ▕ Elastic Stack (ELK) : Elasticsearch, Kibana, Logstash, Fluentd AWS ▕ AWS EC2, ECS, S3, EKS, Fargate, RDS, SQS, SQN, Lambda and Serverless ▕ AI Platform, DynamoDB, Frameworks, Services ▕ ML - Machine Learning: Sagemaker, Architecture, Pipelines, Model Training, Testing, Deployment, Serving and Monitoring Other cloud computing ▕ Google Cloud (GCP), Microsoft Azure \- x - Web Design ▕ Web Design: UX, UI, Figma, MUI, Material UI Mobile ▕ React Native Algorithms and System Design ▕ Microservices, Event-Driven Architecture, SOAP, Websockets, Streaming and RESTful API’s ▕ Sorting (QuickSort, MergeSort), Searching (Binary Search, DFS, BFS), Graph (Dijkstra’s, A), Dynamic Programming, Hashing, Greedy, Divide and Conquer, Backtracking, etc \- x - Artificial Intelligence (AI) ▕ Classic Algorithms, Deep Learning, Transformers ▕ Numpy, Pandas, Scikit-Learn, TensorFlow, Pytorch ▕ NLP, Computer Vision, Recommender Systems ▕ Generative AI (GenAI): LLM, LLMOps, Langchain
Microsoft
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FAQs
Why hire an AI Image Generation developer?
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 an AI Image Generation 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 AI Image Generation developers can help keep your website up-to-date.
How do I hire AI Image Generation developers?
To hire an AI Image Generation 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 AI Image Generation developers effectively and efficiently. Hire full-time AI Image Generation 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 AI Image Generation 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 AI Image Generation 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 AI Image Generation developers for your company, and let Arc handle the logistics.
Where do I hire the best remote AI Image Generation developers?
There are two types of platforms you can hire AI Image Generation 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 AI Image Generation 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 AI Image Generation developers, consider niche platforms like Arc that naturally attract and carefully vet their AI Image Generation developers for hire. This way, you’ll save time and related hiring costs by only interviewing the most suitable remote AI Image Generation developers.
Some factors to consider when you hire AI Image Generation 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 AI Image Generation developers for hire.
How do I write an AI Image Generation developer job description?
Writing a good AI Image Generation developer job description is crucial in helping you hire AI Image Generation 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 AI Image Generation 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 AI Image Generation developers, read our Engineer Job Description Guide & Templates.
What skills should I look for in an AI Image Generation developer?
The top five technical skills AI Image Generation 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 AI Image Generation 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 AI Image Generation developers to keep up with evolving technology and requirements.
What kinds of AI Image Generation developers are available for hire through Arc?
You can find a variety of AI Image Generation developers for hire on Arc! At Arc, you can hire on a freelance, full-time, part-time, or contract-to-hire basis. For freelance AI Image Generation developers, Arc matches you with the right senior developer in roughly 72 hours. As for full-time remote AI Image Generation 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 AI Image Generation developers for hire are all mid-level and senior-level professionals. They are ready to start coding straight away, anytime, anywhere.
Why is Arc the best choice for hiring AI Image Generation developers?
Arc is trusted by hundreds of startups and tech companies around the world, and we’ve matched thousands of skilled AI Image Generation developers with both freelance and full-time jobs. We’ve successfully helped Silicon Valley startups and larger tech companies like Spotify and Automattic hire AI Image Generation developers.
Every AI Image Generation 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 AI Image Generation 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.
How does Arc vet a AI Image Generation developer's skills?
Arc has a rigorous and transparent vetting process for all types of developers. To become a vetted AI Image Generation 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 AI Image Generation 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 AI Image Generation developers, you can rest assured that all remote AI Image Generation developers have been thoroughly vetted for the high-caliber communication and technical skills you need in a successful hire.
How long does it take to find AI Image Generation developers on Arc?
Arc pre-screens all of our remote AI Image Generation developers before we present them to you. As such, all the remote AI Image Generation 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 AI Image Generation developer in 72 hours, or find a full-time AI Image Generation 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 AI Image Generation developers.
How much does a freelance AI Image Generation developer charge per hour?
Depending on the freelance developer job board you use, freelance remote AI Image Generation developers' hourly rates can vary drastically. For instance, if you're looking on general marketplaces like Upwork and Fiverr, you can find AI Image Generation 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 AI Image Generation 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.
How much does it cost to hire a full time AI Image Generation developer?
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 AI Image Generation 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 AI Image Generation developers, check out our FAQs page.