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Artificial Intelligence Career

In this article you'll find information about the artificial intelligence career, read it to get more knowledge about this business field.
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The artificial intelligence (AI) is a multidisciplinary area that combines branches of science such as logic, computation and philosophy, is responsible for designing and creating artificial entities that are capable of solving problems or performing tasks on their own, using algorithms of human behavior.

Artificial intelligence is applied in logistics processes, the creation of autonomous automobiles, medicine, computer vision, music generation, natural language processing, etc. The Artificial Intelligence is applicable to almost everything we do and can impact on a global scale.

Artificial intelligence coupled with robotics is transforming business, for example Alibaba . Check the video of Business Insider UK that shows the smart store of Alibaba. The robots do 70% of the work and transport up to 500 kilograms over their weight for the entire store floor. They have special sensors to avoid colliding with each other, when they require charging their batteries, they move to a charging station and with a charge of five minutes can feed them several hours.

The career of Artificial Intelligence is presented in different modalities courses, training, Bachelor and Doctorate .

Courses and training in Artificial Intelligence:

The short courses (intensive professional course of 5 months) or programs in Artificial Intelligence learning is through tutorials with experts in Artificial Intelligence .

The short course is aimed at scientific data, quantitative scientists, Data scientist, systems engineers and software engineers interested in learning or improving their skills to work on developments in Artificial Intelligence.

It requires experience in programming and have basic knowledge of Machine Learning, Statistics, Calculus, Algebra, database systems, basic concepts of distributed computing, fundamentals of cloud computing and virtualization.

Engineering in Artificial Intelligence:

The option of Engineering in Artificial Intelligence is offered by some universities with an approximate duration of 8 semesters (4 years) .

Doctorate in Artificial Intelligence:

The educational offer at the Doctorate level in Artificial Intelligence is aimed at university graduates with an interest in research in the area of ‚Äč‚ÄčArtificial Intelligence.

The Artificial Intelligence promotes problem solving and decision making by using intelligent software algorithms autonomous learning .

What is studied in Engineering in Artificial Intelligence?

During the study of the career you'll develop activities, use computer systems and study computer science, research specific hardware, experiment with technology in the development of human intelligence simulators and learn to build neural networks . During the course of the course, we work on case studies and work as a team to design, create and test intelligent software applying different technologies.

Some activities you can learn during the course:

- Learn how to apply Artificial Intelligence to identify new forms of business interaction.
- Learn neural network techniques.
- Learn techniques to improve processes.
- Develop products or services that can be applied in finance.
- Develop products and services based on AI.
- Develop intelligent programs to make decisions, correct mistakes and learn.
- Design and develop intelligent programs to solve problems.
- Test and diagnose errors in a machine learning system.
- Make better decisions based on predictions.

Admission profile

- With programming skills.
- Ease for mathematics and physics.
- Technology fan and consumer.
- Great analytical and synthetic capacity.
- Interested in technology and digital transformation.
- Likes to have fun, loves to learn and wants to innovate in the world of AI.
- Likes teamwork.
- Ordered, disciplined and constant.

The graduate of Engineering in Artificial Intelligence, receives the name of Engineer in Artificial Intelligence and can usually work at a regional, national and international level as head of IA in companies of all sectors.

List of some subjects you may have during the Artificial Intelligence Engineering career:

- Smart Agents
- Algebra
- Algorithms
- Philosophical Anthropology
- Databases
- Diferential calculus
- Integral calculus
- Vector Calculation
- Heat and Electromagnetism
- Digital circuits
- Automatic control
- Business management
- Man Machine Interface Design
- Mechanical Design for Robotics
- Differential equations
- Electronics
- Data structure
- Special Ethics: The Virtues
- General Ethics
- Professional ethics
- Social Ethics
- Evaluation of Technological Projects
- Physical
- Software Engineering
- Financial engineering
- Artificial intelligence
- Introduction to Artificial Intelligence
- Logic
- Discrete mathematics
- Mechanics for Robotics
- Microprocessors
- Modeling of Agents and Virtual Environments
- Software Design Patterns
- Probability and statistics
- Digital Image Processing
- Agent Programming for Virtual Environments
- Programming of Mobile Devices
- Graphic Programming
- Object-oriented programming
- Chemistry
- Distributed systems
- Operating systems
- Dogmatic Theology
- Moral Theology

What skills do I need to get a job in artificial intelligence?

Automation, robotics and the use of complex computer programs and programs characterize a career in artificial intelligence (AI). Applicants interested in seeking employment in this field require concrete education based on the foundations of mathematics, technology, logic and engineering perspectives. Written and verbal communication skills are also essential to convey how AI tools and services are used effectively in industry environments.

The Engineer in Artificial Intelligence pursues the objective of applying technology in concrete problems and in the labor field has a range of possibilities. For example:

- Provide solutions to natural language problems.
- Build, train and apply neural networks.
- Develop products and services based on AI
- Develop machine learning and facial recognition projects.
- Develop electronic and mechanical solutions oriented to design.
- Diagnose errors in a machine learning system.
- Design models of Machine Learning.
- Design products and services based on intelligent solutions.
- Design of models of speech recognition and music synthesis.
- In construction of algorithms that mimic basic human skills such as vision, language, automatic speech recognition, machine translation, etc.
- In consulting when developing high level solutions, for automation companies.
- In the design of Deep Learning algorithms.
- In the improvement of decision processes.
- Investigate as a data scientist for Big Data.
- Lead teams and manage smart solutions projects.
- Improve processes.

Useful skills for AI careers

The most triumphant AI professionals frequently share common quirks that allow them to advance in their careers. Working with artificial intelligence requires a process of methodical thinking and the ability to solve problems with cost effective and effective solutions.

It also requires foresight on technological innovations that result in new generation programs that allow companies to remain competitive. In addition to this, AI experts need technical skills to design, sustain and fix technology and software programs.

Finally, AI professionals must learn how to translate highly technical information in a way that others can understand to do their job. This requires good communication and the ability to work with colleagues on a team.

Types of employment in AI

A job in artificial intelligence can be done in a plurality of environments that include private companies, public organizations, education, arts, health centers, governmental and military agencies. Certain situations may require security authorization. Some examples of specific work by AI professionals include:

- Analysts and software developers.
- Computer scientists and also computer engineers.
- Algorithm specialists
- Scientific researchers and engineering consultants.
- Mechanical engineers and maintenance technicians.
- Industrial and electrical engineers.
- Surgical technicians working with robotic tools.
- Medical professionals who work with prostheses, hearing aids and vision restoration devices.
- Military and aviation electricians working with flight simulators, drones and armaments.
- Graphic arts designers, digital musicians, entertainment producers, textile manufacturers and architects.
- Teachers at post-secondary level in technical and commercial schools, vocational training centers and universities.

Some tasks performed by an AI professional:

Responsibilities of a Commercial Development Manager with Artificial Intelligence (Business Development Manager, AI)

- Support the business development team to help boost the overall market of a company and the technical strategy in regards to artificial intelligence.
- Help define specific market segments, customer base and industrial verticals.
- Support in commercial development for the target markets.
- Execute strategic plans for business development and working together with sales teams, service teams, partners, marketing, legal, support, etc.
- Develop prototypes of intelligent systems to share for example, chatbots, robo-advisors, deep learning systems for behavioral modeling, etc.
- Develop lists of use cases.

Tasks developed by a Data Scientist with Artificial Intelligence (Data Scientist):

- Develop Machine Learning (ML) and Deep Learning (DL) models
- Analyze data deeply, discovering root causes and designing long-term solutions.
- Attend and deliver a project exploring data, building and validating predictive models, and implementing complete models to deliver business impact in an organization.
- Help build Deep Learning models.
- Work with Big Data Professional Services consultants to analyze, extract, normalize and tag relevant data.
- Assist in the identification of drift and re-training models.
- Investigate and implement new Machine Learning and Deep Learning approaches.

Responsibilities of a Principal Architect of Solutions in Artificial Intelligence and Machine Learning (Principal Solutions Architect)

- Build smart solutions using Machine Learning (ML) and Deep Learning (DL)
- Design automatic learning and machine learning solutions to solve customer problems and reduce customer costs.
- Evangelize technologies and services.
- Develop and maintain relationships with technical advisors for the successful adoption and implementation of services.
- Work in collaboration with the sales team to create and execute business plans.
- Identify customer requirements and feedback in engineering teams.
- Software Development and Machine Learning Administrator (Software Development Manager - Machine Learning)
- Lead a team that works with services promoted by Machine Learning.
- Lead a team of engineers and work with scientists to create and deliver models in production.
- Help build a robust infrastructure for Machine Learning.
- Use natural language processing and artificial intelligence techniques to solve real-world problems on a large scale.
- Experiment with Deep Neural Networks daily.
- Investigate and implement creative solutions for real-world problems in product discovery.
- Design solutions for automatic detection of misclassified elements.
- Design applications to identify products, understand musical rhythms and movies, images, text.
- Produce the best solutions in its class for the discovery of products.

Functions of a specialist in Big Data and Artificial Intelligence

- Coordinate the development in Intelligent Automation projects (Artificial Intelligence).
- Define technological solutions in BIG DATA environments.
- Work with different departments and infrastructures transferring business needs to Artificial Intelligence problems and communicating solutions and results.
- Stay updated with trends and latest developments in Artificial Intelligence and BIG DATA.
- Support and accompaniment to the needs of a project.

Main Functions of a specialist in Artificial Intelligence

- Develop projects in new and emerging technologies
- Identify trends and potential use cases for available AI technologies
- Develop technology, adapt the existing one and carry out pilots for the business units in AI.
- Knowledge management and training in AI.
- Software and platforms used in Artificial Intelligence



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