Azure Automated ML is a cloud-based service that automates the process of building, training, and deploying machine learning models. It simplifies the machine learning workflow by selecting algorithms, tuning hyperparameters, and generating models with high accuracy, allowing users to focus on analyzing results and integrating models into applications.

About Azure Automated ML
Azure Automated ML was introduced by Microsoft to streamline the machine learning process for data scientists and developers. It aimed to automate model selection, hyperparameter tuning, and deployment, making machine learning more accessible and efficient. The service emerged as part of the broader Azure Machine Learning platform to address the growing demand for scalable AI solutions in enterprise environments.
Strengths of Azure Automated ML include ease of use, scalability, integration with Azure services, and automated model selection and tuning. Weaknesses may involve dependency on Azure infrastructure and potential limitations in customization compared to manual model development. Competitors include Google Cloud AutoML, AWS SageMaker Autopilot, and DataRobot.
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How to hire a Azure Automated ML expert
An Azure Automated ML expert must possess skills in Python programming, data preprocessing, and feature engineering. They should be proficient in using the Azure Machine Learning SDK and familiar with cloud computing concepts. Understanding machine learning algorithms, model evaluation metrics, and deployment processes within the Azure ecosystem is also essential.

Daniel O.
Skills
Front-end developer specializing in a wide range of programming languages and technologies, including ReactJS, React Hooks, JavaScript, Node, and Jest. Proficient in HTML5, CSS3, compilers, AB Testing, JSP, Google Analytics, and Azure DevOps, coupled with foundational knowledge of Python and Angular. Continuously engages with emerging technologies, staying informed about the latest trends in web development. Outside the professional sphere, interests include attending concerts, socializing with friends, gaming, reading, and watching series and movies.

Victor B.
Skills
Fullstack Developer experienced in .Net, Golang, NodeJs, ReactJs, SQL Server, and MongoDB. Proficient in unit testing and adhering to best practices in software development.

Filippe O.
Skills
Graduate in Systems Analysis and Development from Universidade Luterana do Brasil - Torres. Seeks to gain expertise in mobile development and design solutions. Aims to leverage previously acquired experience to solve problems effectively and efficiently. Professional experience encompasses project work utilizing the Flutter framework and designing screens for applications and websites as part of a volunteer initiative at the Software Development Laboratory of Ulbra Campus Torres.

Rogério G.
Skills
A professional specializing in Oracle NetSuite development and both front-end and back-end development with academic qualifications in Digital Game Development (2019) and Systems Analysis and Development from Fatec. Proficient in intermediate-level English.
Possesses two years of experience in working with ERP Oracle NetSuite, focusing on API integration for bank billing, the FocusNFe API, and Sintegra WS. Demonstrates expertise in JavaScript, HTML, CSS, MySQL Database Management, the Linux operating system, Python, NodeJS, and TypeScript.
Holds one and a half years of demonstrated experience in API integration. Expertise includes developing bank slip registration processes using BB’s Billing API and Banco ITAÚ’s API, as well as managing the registration and updating processes for clients and suppliers in Oracle NetSuite.

Heriton M.
Skills
A Computer Engineering graduate with extensive experience in software development, specializing in Java and Kotlin programming languages. Expertise encompasses various architectural styles, DevOps methodologies, and key industry frameworks. Proficient in designing and optimizing automated workflows as well as maintaining and enhancing existing processes. Currently, advancing English language skills through daily coursework, demonstrating a commitment to continual learning.
Key competencies include development in Java and Kotlin, a strong command of the Spring framework (including modules such as data, boot, batch, and security), and proficiency with build tools like Maven and Gradle. Experience extends to working with SQL databases, version control using GIT, the implementation and consumption of REST APIs, and developing microservices architectures. Additionally, adept at utilizing AWS for cloud solutions.
Actively seeking Java development roles at mid to senior level proficiency, with a keen interest in exploring full-stack development opportunities.

Adriano C.
Skills
An individual characterized by a strong dedication to self-improvement and a rigorous commitment to daily study. Demonstrates a receptiveness to constructive feedback that fosters growth. Balances familial responsibilities with a focus on expansion. Displays strong social skills, forming new connections with ease, and maintains a long-term commitment to fitness, consistently engaging in gym activities since the age of 16.

Tarcisio L.
Skills
An experienced BI Analyst with nearly two years in the field, exhibiting a dynamic background in both the vehicle insurance sector and mixed-economy organizations involving state and private entities. Possesses a robust foundation in data analysis, data visualization, and deriving insights from varied data sources. Skilled in a range of technologies including Python, SQL, Power BI, and Excel. Committed to contributing to organizational growth through current expertise and an ongoing dedication to learning in the business intelligence domain.

Jonathan E.
Skills
Holding a Bachelor's degree in Mathematics from UFES (2011) and earning both a Master's and a PhD in Computational Modeling from UFJF (2014 and 2018), this professional has considerable experience in academic research, including a tenure at LAMEMO/COPPE/PEC/UFRJ between 2018 and 2020. Additionally, the individual has served as a substitute professor in the computer science department at UFSJ. Their technical expertise encompasses backend and data development, with a robust proficiency in numerical methods, applied mathematics, and various programming languages and tools such as Fortran, Python, Pandas, SQLAlchemy, SQL, JavaScript, and React.
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