The IT job market is constantly evolving. The demand for certain technical skills has only increased. From AI expertise to the most popular programming languages, here are some skills you'll be hearing about more and more.
Generative AI
Generative AI is a trending topic in the technology industry and, unsurprisingly, companies are enthusiastically adopting this technology to create services and products that make the most of this emerging technology. Applications like ChatGPT or DALL-E 3 are constantly improving. These technologies are being leveraged to create better customer service platforms, automate processes, and even drive business decision-making. The scope of generative AI therefore has enormous potential.
SoC (System-on-chip)
Systems-on-a-chip skills involve integrated circuit technology with the goal of better compressing data and system components into a single piece of silicon. It has become an essential skill for producing mobile devices and for developing embedded systems, IoT devices and other consumer products. The SoC helps reduce power consumption and can help ensure that devices require less space and cost less to build from discrete components, making them an attractive choice for companies developing technical hardware.
Deep Learning
Deep Learning goes hand in hand with AI. It is a subset of machine learning and revolves around the creation of artificial neural networks that can intelligently gather and learn information from multiple data sources. It is an essential component of AI, enabling AI-based services and products to be more intelligent and effective for users and businesses.
Computer Vision
Computer Vision this is also an area of AI aimed at enabling computers to see the world as humans do and derive meaningful information from visual input and digital images. The goal is to enable AI to intelligently process visual information, make decisions based on what it sees, offer recommendations, and even take action to remedy problems as they arise. Computer vision skills are important to assist AI systems in image classification, object detection and recognition, 3D reconstructions, biometric data collection, and motion tracking and analysis.
Mesos
Mesos is an open source project that started as a research project at UC Berkeley, later evolving into an open source Apache project. Apache Mesos is an open source distributed systems core that allows users to retrieve information and resources from different servers in a cluster and deliver that information on a single platform. Using Mesos, organizations can share resources more efficiently across multiple applications, and the tool is designed to scale with organizations as their resources grow.
Rust
Created by a software developer at Mozilla in 2006 as a personal project, Rust is a programming language with a strong focus on performance, type safety, and concurrency. Mozilla officially sponsored the project in 2009 and released the language in 2015, where it was then quickly adopted by organizations including Amazon, Google, Discord, Dropbox, Meta, and Microsoft. Rust skills are commonly used for systems programming, web development, game development, networking, and software development for embedded systems.
Elixir
Functional programming language designed to support scalability, fault tolerance, metaprogramming, tooling, and concurrency. The language was built on the BEAM virtual machine and is most used in web development and when creating real-time messaging systems, IoT applications, and distributed systems. Elixir's skills revolve around web development, distributed systems development, real-time communication in chat applications, and running background processing tasks.
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