Most of us are confused about these job Tittle – AI Software Engineer and Data Scientist. Both of the job titles are high paying in the industries. I have heard the same question in multiple communities. Consequently, I decided to write an article on this topic. Get the complete detail about the difference between Machine Learning Engineer or AI Engineer Software vs Data Scientist: Role and Responsibility. In order to develop larger intelligent software products, both roles are equally important. let’s explore –
An AI Engineer’s responsibility starts from creating a usable product for clients and customers where AI is involved. In order to simplify the role and responsibility of AI engineers, we can break it two parts – core and optional responsibilities.
An AI engineer works closely with Data Scientist and performs the below task –
These responsibilities are optional for AI Engineer –
Someone who has all skills as mention above. I mean who can work as a developer ( AI software Engineer) and data scientist in an organization is a full-stack AI engineer. They work as a one-man army in entire projects. Generally, I have seen small organizations hire full-stack AI developers. On the opposite side, Big companies have a big army of developers. In MNC’s there will be specific persons for specific tasks. But the changing trend in the business and IT sector, Full stack developer, and AI engineer are in huge demand. It will be a trend with the growth of a startup is this era.
In this section, nothing is new. All the optional responsibility for AI developers are most likely data science core responsibility. In fact, a data scientist has to perform following task –
1.Data science problem formulation
2. collect the relevant data
3. clean the data
4. Apply preprocessing steps like feature engineering over it.
5. split data set into training and testing set
6. Train the model
7.tune the model .etc
Usually, Data engineers have a very different task to data scientists but in some scenarios, a data scientist needs to fulfill both. In a similar way as AI software Engineer has to work end to end.
I think now there is a clear boundary between both Job role.
No, neither it is must-have for data scientist nor for AI engineer as well. It is just good to have knowledge of both job roles. Actually It is only just to have for data engineers. But if you know any of the Big data technology as a Data Scientist you will be in the high demand.
Truly speaking these are just boundaries. In real-time you will see engineers are cross-functional. People are transforming their profiles. I have also written a similar article – How a Java Engineer can Transform his career into Data Science | Java for Data Science? Still, we have tried to give an Imaginary view of these two job profiles in the AI industry. Well! Any article is not complete it gets a response from the reader. The positive response becomes our motivation and negative become the suggestions. In short please comment below if you have any queries or suggestions for the topic – AI Software Engineer vs Data Scientist: Role and Responsibility.
Data Science Learner Team