EvanescentAI is a cutting-edge technology that specializes in real-time data analysis and predictive modeling. It utilizes advanced machine learning algorithms to process large datasets quickly, providing actionable insights and forecasts for businesses to enhance decision-making and optimize operations.
About EvanescentAI
EvanescentAI was developed as a pioneering technology in the field of artificial intelligence, focusing on real-time data analysis and predictive modeling. It emerged to address the growing need for rapid data processing and insightful forecasting in business operations. The specific creators or company behind its inception remain unspecified, but it played a significant role in transforming data-driven decision-making processes since its introduction.
Strengths of EvanescentAI included its ability to process large datasets rapidly and provide accurate predictive insights, enhancing decision-making for businesses. Weaknesses might have involved challenges in integrating with existing systems or limitations in handling unstructured data. Competitors likely included other AI-driven analytics platforms such as IBM Watson, Google Cloud AI, and Microsoft Azure AI, which also offered robust data analysis and predictive capabilities.
Hire EvanescentAI Experts
Work with Howdy to gain access to the top 1% of LatAM Talent.
Share your Needs
Talk requirements with a Howdy Expert.
Choose Talent
We'll provide a list of the best candidates.
Recruit Risk Free
No hidden fees, no upfront costs, start working within 24 hrs.
How to hire a EvanescentAI expert
An EvanescentAI expert must possess strong skills in machine learning and data analysis, including proficiency in programming languages such as Python or R. Expertise in handling large datasets and familiarity with data processing frameworks like Apache Spark is essential. Additionally, knowledge of predictive modeling techniques and experience with AI algorithms are crucial for effectively leveraging EvanescentAI's capabilities.

Ana C.
Skills
A Production Engineer with a degree from Universidade Veiga de Almeida and additional qualifications in Data Science from the Data Science Academy, possesses a focused expertise in the field. Extensive experience in sports content production, specifically American football, began in 2016 and culminated in the launch of a personal project in 2021, which honed communication, creativity, planning, and critical analysis skills. With four years of Technology industry experience, project involvement has included Speech to Text (Azure), Data Engineering using Azure Data Lake Gen2 and Data Factory, and maintenance of Virtual Analyzers for a petrochemical client, encompassing comprehensive Data Science project activities. Further experience includes an Associate Product Manager role with a data focus in the Logistics sector. Currently undergoing Machine Learning Engineer training at the Data Science Academy, with an anticipated completion date of April 2024, actively seeking a position as a Data Scientist.

Vinicius A.
Skills
A Full Stack Web Developer proficient in PHP, Symfony, Swagger, Vue.js, MySQL, and various Google Platform resources such as Storage, PubSub, and Cloud Functions. Responsible for both the development of new features and the maintenance of existing systems. Significant contributions include the development of features in compliance with the General Data Protection Law (LGPD). Currently, a member of the innovation team, focusing on the development of new products.

Gabriel D.
Skills
Computer Engineer and iOS developer based in Paraná, Brazil, with seven years of industry experience, six of which are dedicated to specialized work in Swift. Proficient in a range of tools, libraries, and frameworks including UIKit, SwiftUI, Combine, RxSwift, Cocoapods, XCTest, Firebase, and Bitrise. Additional expertise includes Android development using Kotlin and Java, hybrid mobile development with Ionic, Flutter, and React Native, as well as Unity and backend technologies such as C#, Java Spring, and Node.js. Demonstrates a high degree of flexibility and adaptability to new tools, languages, libraries, and work environments.

Izabela G.
Skills
An Information Technology Management graduate from FATEC, with a background in IT support and a specialization in .NET and C#. Through practical work experience, manual testing was explored, igniting a keen interest in Quality Assurance (QA). To augment this interest, an intensive QA course was completed, currently culminating in a role dedicated to software quality assurance.

Lucas H.
Skills
A graduate in Internet Systems from IFET Minas, currently employed as a programmer with a focus on developing solutions to assist and automate processes across various departmental functions within the food industry. Experienced in PHP, MySQL, JavaScript, and Object-Oriented programming. Possesses a demonstrated ability to quickly adapt to new challenges and technologies. In the second year of an English language course, committed to ongoing personal and professional development.

Jonatan O.
Skills
An experienced iOS Developer with a comprehensive background in designing, developing, and maintaining iOS applications. Demonstrates proficiency in Swift and Objective-C, along with expertise in various iOS frameworks such as UIKit, Core Data, and Core Animation. Possesses a strong understanding of the full mobile development lifecycle, including concept, design, test, release, and support. Committed to producing quality code and delivering innovative and efficient solutions, this professional is adept at problem-solving and has a strong focus on UI/UX principles to ensure high-quality user experiences.

Edgard A.
Skills
A dedicated technology enthusiast with a deep-rooted interest in commercial automation systems, possessing extensive experience in the field from an early age. Presently engaged in the study and development of web and mobile applications utilizing Node.js, React, and React Native. Ongoing work and projects can be followed on GitHub.

Marcos L.
Skills
A technology enthusiast with a relentless focus on achieving success.
*Estimations are based on information from Glassdoor, salary.com and live Howdy data.
USA
$ 224K
Employer Cost
$ 127K
Employer Cost
$ 97K
Benefits + Taxes + Fees
Salary
The Best of the Best Optimized for Your Budget
Thanks to our Cost Calculator, you can estimate how much you're saving when hiring top LatAm talent with no middlemen or hidden fees.