Looking for AI jobs? Well, here are our top 5 AI jobs along with all the skills needed to land them
Rapid technological advances and the promotion of machine learning have shifted manual processes to automated ones. This has not only made the lives of humans easier but has also generated error-free results. To only associate AI with IT is baseless.
You can find AI integrated into our day-to-day lives. From self-driven trains to robot waiters, from marketing chatbots to virtual consultants, all are examples of AI.
We can find AI everywhere without even knowing it. It is hard to explain how quickly it has become a part of our daily routine. AI will automatically find suitable searches, foods, and products even without you uttering a word. It is not hard to say that robots will replace humans very shortly.
The evolution of AI has increased the demand for AI experts. With the diversified AI job roles and emerging career opportunities, it won’t be difficult to find a suitable job matching your interests and goals. Here are the top 5 AI job picks that may come in handy, along with the skills that will help you land them effortlessly.
Must-have skills for AI jobs
To land the AI job, you need to train yourself and become an expert in multiple skills. These skills can only be mastered through great zeal, effort, hard work, and enthusiasm to learn them.
Every job requires its own set of core skills, i.e. some may require data analysis, while others might demand expertise in machine learning. But even with the diverse job roles, the core skills needed for AI jobs remain constant, which are:
- Expertise in a programming language (especially in Python, Scala, and Java)
- Hands-on knowledge of Linear Algebra and Statistics
- Proficient at Signal Processing Techniques
- Profound knowledge of the Neural Network Architects
Read blog about AI and Machine learning trends for 2023
Our top 5 picks for AI jobs
1. Machine Learning Engineer
Who are they?
They are responsible for discovering and designing self-driven AI systems that can run smoothly without human intervention. Their main task is to automate predictive models.
What do they do?
From designing ML systems, drafting ML algorithms, and selecting appropriate data sets, they sand then analyze large data, along with testing and verifying ML algorithms.
Qualifications are required? Individuals with bachelor’s or doctoral degrees in computer science or mathematics, along with proficiency in a modern programming language, will most likely get this job. Knowledge about cloud applications, expertise in mathematics, computer science, machine learning, programming languages, and related certifications are preferred.
2. Robotics Scientist
Who are they? They design and develop robots that can be used to perform the error-free day-to-day task efficiently. Their services are used in space exploration, healthcare, human identification, etc.
What do they do? They design and develop robots to solve problems that can be operated with voice commands. They operate different software and understand the methodology behind it to construct mechanical prototypes. They collaborate with other field specialists to control programming software and use it accordingly.
Qualifications required? A robotics scientist must have a bachelor’s degree in robotics, mechanical engineering, electrical engineering, or electromechanical engineering. Individuals with expertise in mathematics, AI certifications, and knowledge about CADD will be preferred.
3. Data Scientist
Who are they? They evaluate and analyze data and extract valuable insights that assist organizations in making better decisions.
What do they do? They gather, organize, and interpret a large amount of data using ML and predict analytics into much more valuable perspicuity. They use tools and data platforms like Hadoop, Spark, Hive, and programming languages like Java, SQL, and Python to go beyond statistical analysis.
Qualification required? They must have a master’s or doctoral degree in computer sciences with hands-on knowledge of programming languages, data platforms, and cloud tools.
Master these data science tools to grow your career as Data Scientist
4. Research Scientist
Who are they? They analyze data and evaluate gathered information using restrained-based examinations.
What do they do? Research scientists have expertise in different AI skills from ML, NLP, data processing and representation, and AI models, which they use for solving problems and seeking modern solutions.
Qualifications required? Bachelor or doctoral degree in computer science or other related technical fields. Along with good communication, knowledge about AI, parallel computing, AI algorithms, and models is highly recommended for those who are thinking of pursuing this career opportunity.
5. Business Intelligence Developer
Who are they? They organize and generate the business interface and are responsible for maintaining it.
What do they do? They organize business data, extract insights from it, keep a close eye on market trends, and assist organizations in achieving profitable results. They are also responsible for maintaining complex data on cloud-based platforms.
Qualifications required? Bachelor’s degree in computer science and other related technical fields with added AI certifications. Individuals with experience in data mining, SSRS, SSIS, and BI technologies and certifications in data science will be preferred.
Learn core AI skills today!
A piece of advice for those who want to pursue AI as their career: “Invest your time and money.”. Take related short courses, acquire ML and AI certifications, and learn about what data science and BI technologies are all about and practices. With all these, you can become an AI expert with a growth-oriented career in no time.
