Top 5 AI Roles in demand
In recent weeks, roles in artificial intelligence (AI) have grown exponentially to meet the demands of digitally transformed industries and help support businesses who are relying on technology now more than ever. This has created an abundance of opportunities for many technology specialists who wouldn’t necessarily have considered a career within the space. These top five roles within AI are vital to many businesses around the globe and are currently being remotely hired to help businesses continue as usual.
Tara Hession, Data & Analytics specialist at Huxley, expands on this saying “Developers, Analysts and Engineers are highly in demand as the automated technologies in many companies have had to become more advanced in recent weeks and this has allowed technical specialists to utilise their skills in order to greatly benefit the AI sector.”
Globally, here are the top 5 AI contract roles.
- Machine Learning Engineer
- Data Scientist
- Business Intelligence Developer
- Research Scientist
- Big Data Engineer/Architect
So which key skills do you need for the above top 5 jobs? Let’s take a closer look at each one.
1. Machine Learning Engineer
Machine learning engineers are highly sought after right now and are mostly responsible for building and managing platforms for machine learning projects. The role of a machine learning engineer is at the heart of AI projects and is suitable for those who hail from a background in applied research and data science. However, it’s also necessary to be an AI programmer and demonstrate a thorough understanding of multiple programming languages. To be considered, applicants must demonstrate an in-depth working knowledge of modern programming languages like the following:
2. Data Scientist
Data scientists are charged with collecting, analysing, and interpreting large, complex datasets by leveraging both machine learning and predictive analytics. They also play a vital role in developing algorithms that enable the collection and cleaning of data for analysis. Candidates looking to get started in data science need to be comfortable with big data platforms and tools like the following:
3. Business Intelligence Developer
Careers in artificial intelligence also include the position of the business intelligence (BI) developer. The primary objective of this role is to analyse complex data sets to identify business and market trends. Business intelligence developers are typically responsible for designing, modelling, and maintaining complex data in highly accessible cloud-based data platforms. Those who are interested in this role need to possess strong technical and analytical skills. Candidates should be able to communicate with non-technical colleagues and display strong problem-solving skills.
4. Research Scientist
One of the leading roles right now in artificial intelligence is the job of the research scientist. These individuals are experts in multiple AI disciplines, including applied mathematics, machine learning, deep learning, and computational statistics.
Candidates should demonstrate extensive knowledge and experience in computer perception, graphical models, reinforcement learning, and natural language processing.
5. Big Data Engineer/Architect
Data engineers and architects play a vital role in developing an ecosystem that enables business systems to communicate with each other and collate data. Compared to data scientists, this role can feel more connected to the business, as big data engineers and architects are typically tasked with planning, designing, and developing the big data environment on Hadoop and Spark systems. Candidates also have to demonstrate significant programming experience with:
AI technology remote contract roles and the rise in machine-based automated jobs are only going to expand in the coming years. We at Huxley, have fantastic opportunities for contractors in this sector, so make sure to get in touch with Tara Hession <[email protected]> to discuss your next career move or hiring needs in artificial intelligence or fill out the form below.