What study lands you an AI job?
AI jobs are cooler than other technical jobs – there is no denying the fact. An AI specialist plays with technology whereas the other experts follow a defined pattern of implementing the technology. First of all, you need to target a career in AI; computer science engineering-related career in artificial intelligence is the most popular one.
To land an AI job, you need to:
Become a pro in technology – Start experimenting with the technologies like MySQL, PHP, Big Data, and Postgres. Keep exploring as many technologies as you can to pursue a successful and rewarding career in AI.
Keep a tab over JDs for AI – It’s a smart move to browse through the job descriptions for AI-related careers on different job portals. It will help you keep abreast with concurrent technologies in AI. Prepare yourself accordingly.
Pursue new-age computer science engineering – Most of the advanced engineering colleges have added AI as a module to their B.Tech (CSE) curriculum. While pursuing B.Tech, you can gain the insights into technologies you need to learn for an AI job.
Upgrade your technological skills – The existing engineers can go for certificate/ diploma course in artificial engineering to upgrade themselves. It will help them switch to the most futuristic and promising career i.e. AI.
Career Prospects in AI Jobs
The opportunities for AI experts are ample in number as the IT companies including the giants like IBM, Google, and Microsoft are on the lookout of AI engineers.
Career evaluation in this emerging technology brings our search to the below-mentioned most popular profiles:
Machine Learning Engineer
Artificial intelligence is a vast field, which includes machine learning (ML) as its subset. Machine learning engineers are the most sought-after experts by the industry. The ML engineers are well-versed with the software skills that need to be applied to design predictive models. Utilizing NLP (Natural Language Processing) while working on humongous sets of data is also the responsibility of an ML engineer.
Data Scientist
The demand for skilled data scientists has been burgeoning across the industries. These experts employ the means of machine learning and predictive analysis to gather, analyze, and understand the valuable insights from the massive volume of data-sets. Data scientists are a pro at accessing the data tools and platforms like Hadoop, Hive, Spark, etc.
Robotic Scientist
Robotic science has been largely employed in diverse sectors like security, healthcare, space research, and so on. Henceforth, the demand for robotic scientist remains on surge constantly. Robotics scientists develop robots and mechanical devices that can automate the work processes. ATMs are the perfect examples of robotics engineering where you don’t need a human to withdraw cash.
Business Intelligence Developer
BI developers are widely demanded across the industries. Their prime role is to synchronize and analyze the complex data in compliance with the current market trends. It helps the organizations increase their productivity and efficiency. Along with the core analytical and technical skills, they are expert at problem-solving and communication skills.
Research Scientist
A research scientist has the 360-degree knowledge of various disciplines of artificial intelligence, such as computational statistics, machine learning, reinforcement learning, NLP (natural language processing), computer perception, graphical models, etc. A number of IT and non-IT firms are always in dearth of experienced research scientists.
Do you think of artificial intelligence and its power to nurture a desirable career, share your comments below.
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