The top Best jobs in Artificial intelligence in 2023 are listed below:
Data Scientist Engineer in Machine Learning Architect in Big Data Robotics Engineer NLP Engineer
- Data Scientist
A Data Scientist needs to know statistics and have a background in them because their job is to clean and analyse data and make predictions based on that data.
A data scientist uses data analysis to try to predict the future.
The name “Data Scientist” makes it clear what their main job is. They study, analyse, and organise data to get a better understanding so they can find patterns in the past and make suggestions or predictions about the future.
In India, a Data Scientist earns about 10.6 Lakhs per year.
Skills and qualifications needed
Either a Master’s or a Ph.D. in computer science, mathematics, computer engineering, or a similar field.
The ability to understand machine learning and deep learning.
Skills in technology, analysis, communication, and being a leader.
Code-writing skills in Python, Perl, Scala, SQL, SAS, etc.
- Machine Learning Engineer
The work of a Machine Learning Engineer is a little bit of both Data Science and Software Engineering.
One example of machine learning is the traffic alert feature on Google Maps. Google uses ML to study data and make predictions about road traffic.
Using machine learning algorithms, you can also get e-commerce suggestions based on what you’ve looked for in the past.
A Machine Learning Engineer’s job is to make algorithms that give machines the ability to act on their own.
An ML engineer’s average median salary is 7.5 LPA.
Skills and qualifications needed
Bachelor’s degree in software programming, data science, or computer science.
Machine learning, deep learning, and neural networks are all things you need to know about.
Cloud applications.
Programming skills in Java, Python, Scala etc.
- Big Data Architect
A Big Data Architect’s job is broader and more involved than that of a Data Scientist or a programmer.
A Big Data Scientist is in charge of building an ecosystem of big data environments for an organisation. They should know a lot about data processing tools and systems and have experience working with big data.
A Data Architect is in a higher position and is in charge of a team that manages data. Because of this, it is one of the highest-paying jobs.
In India, the average median salary for a Big Data Architect is 24.0 LPA.
Skills and qualifications needed
A Ph.D. in computer science, mathematics, computer engineering, data science, or a similar field.
Python, R, Java, SQL, C++, Scala, and C++.
Advance data mining and data management.
Learning by machines.
Data modelling tools.
Problem-solving, management, and analytic skills.
Tools from today Spark, Hadoop, Pig, or Hive.
- Robotics Engineer
Robotics engineers design, build, test, and take care of AI-powered robots as part of their work.
To be a good Robot Engineer, a person needs to have experience in computer science, data analysis, electrical engineering, and other fields.
Robotics Engineers plan, design, and build different robots for different uses. Robots are used in many fields, such as manufacturing, healthcare, and education, so their uses are varied.
On average, a robotics engineer earns 3.5 LPA.
Skills and qualifications needed
AI basics and machine learning
Robotics, mechanical engineering, and electrical engineering knowledge.
CAD/CAM, IoT, 2D/3D, and vision system.
Programming skills
- NLP Engineer
AI has a field called “Natural Language Processing.”
NLP engineers work on AI speech patterns and recognition. Basically, they make computer programmes that let machines talk to people and understand what they say.
Alexa, Siri, and Google Maps are all voice assistants, and NLP engineers are in charge of how they understand and use language.
A typical median salary for an NLP engineer is 8.8 LPA.
Skills and qualifications needed
A Bachelor’s in Engineering, Data Science, Computer Science, etc.
Python, Java, and R skills.
Methods of Machine Learning.
Neuronal networking with loops.
Probabilities and numbers.
Knowing about languages.
