Al is a high-level programming language designed for artificial intelligence and machine learning applications. It facilitates the development of algorithms that can learn from and make decisions based on data.
About Al
Al was developed to address the growing need for specialized tools in artificial intelligence and machine learning. It emerged to streamline the creation of algorithms capable of learning from data and making informed decisions. The exact details regarding its founders or specific creation year are not widely documented.
Strengths of Al included its specialized focus on AI and machine learning, ease of use, and efficient handling of complex data. Weaknesses involved limited versatility outside its niche and potential performance issues with large-scale applications. Competitors included Python with libraries like TensorFlow and PyTorch, as well as R for statistical analysis.
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How to hire a Al expert
An Al expert must have strong proficiency in machine learning algorithms, data preprocessing, and statistical analysis. They should be adept at using libraries and frameworks specific to Al, have a solid understanding of neural networks, and possess skills in optimizing model performance and scalability.
Tiago D.
Skills
Web Developer with over eight years of experience specializing in web development, proficient in languages including Python, PHP, and JavaScript. Advanced through positions from junior developer to senior roles, also providing technical leadership in both educational technology and financial technology sectors. Currently focused on pre-sales as a Solutions Architect with deep expertise in Azure, Google Cloud Platform, and Amazon Web Services. Areas of specialization include software engineering, DevOps engineering, and data engineering.
Jaime F.
Skills
With over 15 years of experience as an executive in IT, PMO, and Pre-Sales, this professional brings extensive expertise in establishing customer service operations, sales architecture, support and billing systems, and managing corporate projects including mergers, acquisitions, and IPOs. Demonstrating solid knowledge in the architecture of solutions and products focused on digital services, this individual has cultivated a robust presence in the IT services market. Actively functioning as a liaison between the technical, business, and financial domains, the professional has adeptly led major projects, navigating disruption and driving innovation to secure substantial financial outcomes throughout their career.
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.
Patrick A.
Skills
Data Scientist specializing in Fake News Detection research through the application of Python and Machine Learning methodologies. Proficient in frameworks and technologies such as Django, Node.js, Angular, Java, Oracle Database, and MySQL. Currently serves on a Fraud Detection team, responsible for constructing machine learning models and conducting analysis to prevent banking fraud.
Lara T.
Skills
Lara holds a degree in Computer Science and brings four years of experience in mobile development, with a particular passion for technology related to Apple and iOS development. As a software engineer, she has expertise in various architectural patterns such as MVC, MVVM, and VIP. Proficient in GIT version control, Tuist, and Cocoapods, Lara is adept at using the Xcode IDE for her development projects. Her technical skills include making requests in REST APIs and programming in Swift and Python. She is also experienced in using storyboards, xib, and view code, and is well-versed in conducting both unit and UI testing.
Guilherme D.
Skills
Head of Data & Analytics, responsible for organizing and managing the data and analytics structure. Prioritizes quality deliveries, equipping teams for data solution implementations through training, certifications, and workshops. Oversees all activities of Big Data and Analytics project managers, directs project strategies, analyzes, and proposes data architectures and solutions. Supports the commercial team in the pre-sale of Big Data and Analytics projects and solutions.
Lucas D.
Skills
An innovation project specialist with over seven years of expertise in data science and automation development, characterized by active involvement in a broad spectrum of projects. This experience encompasses audio processing experiments, the management, implementation, and evolution of customer service platforms, alongside diverse endeavors such as modeling, forecasting, classification, chatbot development, and Robotic Process Automation (RPA). Brazilian by nationality, originating from Belo Horizonte and currently residing in Curitiba. Possesses a degree in Control and Automation Engineering and is presently engaged in a master's program in Artificial Intelligence.
Kaique V.
Skills
Pursuing a degree in Computer Engineering with an anticipated graduation date of December 2021.
*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
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