Nowadays every aspect of our daily lives is impacted by artificial intelligence and there are lots of jobs in the field. Here are some career guidance tips for choosing jobs in AI, machine learning, and robotics:
1) Data Science Manager:
If you choose to become a data science manager then you will gather client insights, algorithms, and machine learning for AI driven products and solutions.
You will be helping in programming, relationship building, and statistical analysis for aiding clients in understanding how AI, machine learning, and data science can benefit their business.
2) Big Data Engineer:
Data solutions are built, developed, and optimized by Big Data Engineers who specialize in breaking down big information into a simple format like data pipelines, data sets, and architectures.
The role of a Big Data Engineer is crucial for developing the functionality and infrastructure that permits Data Scientists to gather and analyze data efficiently
3) Machine Learning Engineer:
There are lots of jobs in machine learning. As a machine learning engineer, you will be working on the creation of artificially intelligent machines.
There are various types of applications that you could find yourself working on but the ultimate goal is developing a simple machine to think, learn, and execute actions independently of its user.
4) Software Engineer:
There are lots of industries that are becoming famous for their forays into the fields of AI and Robotics. This field has immense job opportunities to be found in everything from design, development, testing, and maintenance for applications or artificial intelligence programs.
5) Automation Engineer:
Automation Engineers use automation scripts and frameworks to develop automated test processes for current or emerging artificial intelligence software. They are crucial to supervising the software development cycle and ensuring the final product is fit for purpose and in-line with business needs.