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Vetted AWS SageMaker developer in Brazil (UTC-3)
Staff Software Engineer with 15+ years of experience leading and developing scalable, high-availability systems. Proven ability to drive projects from inception to deployment, leveraging expertise in Kotlin, Java, AWS, Google Cloud, and Kubernetes. Successfully led the development of risk analysis and transaction decision systems, improving service reliability and speed. Passionate about incorporating AI into software development, including using SageMaker for fraud detection. I have supplemented my practical experience with self-study courses in LLMs and AI, further enhancing my ability to contribute to innovative solutions. Dedicated to continuous improvement, mentorship, and fostering a collaborative team environment.
Vetted AWS SageMaker developer in Brazil (UTC-3)
As a Senior Data Engineer with close to three decades of experience, I possess a diverse background in software engineering, technical leadership, and education, specializing in database and data engineering. I excel in crafting data analytics solutions using a robust skill set encompassing AWS, Python, SQL, NoSQL, Terraformand Machine Learning. My career journey has revolved around thriving in agile environments, utilizing methodologies like Scrum to design and implement solutions across a spectrum of industries. Notably, I've contributed my expertise to esteemed entities such as Sicredi Bank, IBM, Rio Grande Energia, Procempa, as well as startups including Elofy and Imagen Technologies, spanning financial, technology, utilities, governmental, HR, and healthcare sectors. My approach is characterized by a proactive, inquisitive nature, coupled with a relentless pursuit of self-improvement and innovation. Bolstering this, I hold a Master's Degree focusing on NLP and Machine Learning, complemented by an AWS Certification.
Vetted AWS SageMaker developer in Brazil (UTC-3)
Senior Full stack developer. PhD in Computer Science, master’s in informatics. Adjunct Professor at IFPB. Has 15 years’ professional experience in Computer Science, focusing on Software Development, DevOps and Data Engineering. I experienced significant professional growth during my tenure at Translucent Computing. Initially joining as a senior software developer, I played a pivotal role in various projects, handling responsibilities across both frontend and backend tasks, as well as overseeing devops. As I progressed, I assumed the role of tech lead, leading a team of over 10 developers to deliver high-quality, production-ready code. One significant project that showcased my contributions was the successful leadership in developing a financial (loan) system at Translucent Computing. This project, structured around microservices, comprised more than 10 microservices and integration with over 13 third-party services. Managing data consistency in this distributed environment posed a considerable challenge. My colleagues often highlight my strengths as a team member. They would describe me as a natural leader, appreciating my ability to foster positive relationships and maintain a respectful and collaborative work environment. Furthermore, they recognize my strong interpersonal skills, which contribute to effective communication and teamwork. Additionally, I am known for addressing challenges swiftly and efficiently. Overall, my co-workers would likely emphasize my leadership qualities, interpersonal skills, and quick problem-solving abilities as key strengths.
Vetted AWS SageMaker developer in Brazil (UTC-3)
With over a decade of professional experience, I feel ready to take part of any challenge. From Data Science to Software Engineering, I’ve become a more diverse professional along the years when working with Data Science/Engineering and Engineering Management as well. I love to learn new things and i’m adaptive to any context.
AWS SageMaker developer in Brazil (UTC-3)
Professional with over 20 years of experience in data architecture, AI/ML solution design, and integration, serving large enterprises and diverse sectors.
Vetted AWS SageMaker 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 AWS SageMaker developer in Brazil (UTC-3)
Professional with 17 years of experience in software development. Bachelor's Degree in Computer Science, with MBA Degree in IT Management. Worked as a professor for 8 years at the best universities in Brazil. **Knowledge** Java, Micro-services Architecture, REST, GraphQL, Spring Boot (Spring Data JPA, Hibernate, Spring Cloud Actuator, Spring Cloud Configuration, Spring Cloud Feign, Spring Cloud Eureka, Spring Cloud Load Balancer, Spring Cloud API Gateway, Resilience4j, SpringDoc OpenAPI, Spring Security), Flyway, Intellij Idea, Eclipse, Docker, AWS (IAM, Lambda, S3, EC2, SQS, SNS, CloudWatch), Reactive programming (Reactor and Spring Webflux), Git, GitHub, Bitbucket, Maven, Gradle, Tests (Spring Boot, JUnit, Mockito, WireMock), Terraform, SOLID, Clean Code, Swagger, NoSQL, MongoDB, Postman, Kibana, Datadog, Splunk, Snyk, Checkmarx, Pivotal GemFire, SonarQube.
Vetted AWS SageMaker developer in Brazil (UTC-3)
Software Engineer with experience in web applications. Always worked as a full stack developer, with focus on code quality, maintability, performance and scalability. Knowledge in testing, developing and configuring applications. Have experience in using AWS services (EC2, Lambda, S3, SQS), Docker configuration and Jenkins pipelines. Proactive in identifying and solving problems, communicative and passionate about programming.
Vetted AWS SageMaker developer in Brazil (UTC-3)
Backend Developer with 5+ years of experience, specialized in Java, Spring Boot, and AWS. I focus on building robust, scalable distributed systems, particularly in the areas of microservices architecture and serverless computing. Some of My Work Experience: At TownSq, I contributed to the development and architecture of a leading condo management software. I used Java, Spring Boot, and AWS to build microservices and Lambda functions that could easily scale for a growing user base. I also maintained high standards of code quality, including comprehensive test coverage and clean code practices. At IBM, I utilized SAP Commerce/Hybris and Java Spring to create e-commerce solutions for one of the world's largest retailers. I was actively involved in product discovery and architectural decisions and implemented automated tests using Selenium to ensure application functionality. At SAP, I worked with international teams on e-commerce solutions using SAP Commerce/Hybris and Java Spring. I emphasized automated testing with Selenium to maintain high standards of application functionality and reliability across a range of client needs. I'm passionate about continuous learning and recently started exploring AI and Deep Learning. Always up for the next challenge, I aim to apply my skills to add value for customers and impact millions worldwide. In my free time, I enjoy surfing and playing the guitar, with a particular interest in Brazilian samba.
Vetted AWS SageMaker developer in Brazil (UTC-3)
I am a seasoned Software Engineer with 7 years of diverse experience across Fintech, AI, B2B, Mobility, and Social Media integration domains. Proficient in leveraging a wide array of technologies such as Python, Django, Node.js, & Golang, combined with a knack for strategic problem-solving and leadership. Enthusiastic about embracing fresh obstacles and consistently open to novel opportunities. Recognized for strong communication skills and armed with a degree in Computer Science. Eager to contribute and excel in dynamic tech landscapes.
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Ready to hire your ideal AWS SageMaker 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 AWS SageMaker 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 an AWS SageMaker 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 AWS SageMaker developers can help keep your website up-to-date.
To hire an AWS SageMaker 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 AWS SageMaker developers effectively and efficiently. Hire full-time AWS SageMaker 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 AWS SageMaker 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 AWS SageMaker 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 AWS SageMaker developers for your company, and let Arc handle the logistics.
There are two types of platforms you can hire AWS SageMaker 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 AWS SageMaker 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 AWS SageMaker developers, consider niche platforms like Arc that naturally attract and carefully vet their AWS SageMaker developers for hire. This way, you’ll save time and related hiring costs by only interviewing the most suitable remote AWS SageMaker developers.
Some factors to consider when you hire AWS SageMaker 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 AWS SageMaker developers for hire.
Writing a good AWS SageMaker developer job description is crucial in helping you hire AWS SageMaker 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 AWS SageMaker 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 AWS SageMaker developers, read our Software Engineer Job Description Guide & Templates.
The top five technical skills AWS SageMaker 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 AWS SageMaker 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 AWS SageMaker developers to keep up with evolving technology and requirements.
You can find a variety of AWS SageMaker developers for hire on Arc! At Arc, you can hire on a freelance, full-time, part-time, or contract-to-hire basis. For freelance AWS SageMaker developers, Arc matches you with the right senior developer in roughly 72 hours. As for full-time remote AWS SageMaker 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 AWS SageMaker 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 AWS SageMaker developers with both freelance and full-time jobs. We’ve successfully helped Silicon Valley startups and larger tech companies like Spotify and Automattic hire AWS SageMaker developers.
Every AWS SageMaker 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 AWS SageMaker 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 AWS SageMaker 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 AWS SageMaker 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 AWS SageMaker developers, you can rest assured that all remote AWS SageMaker 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 AWS SageMaker developers before we present them to you. As such, all the remote AWS SageMaker 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 AWS SageMaker developer in 72 hours, or find a full-time AWS SageMaker 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 AWS SageMaker developers.
Depending on the freelance developer job board you use, freelance remote AWS SageMaker developers' hourly rates can vary drastically. For instance, if you're looking on general marketplaces like Upwork and Fiverr, you can find AWS SageMaker 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 AWS SageMaker 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 AWS SageMaker 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 AWS SageMaker developers, check out our FAQs page.