Engineering has always been a popular choice among many students. It is the dream of every technology loving kid to join an engineering course and find the right career opportunity in the field of technology. Engineering students have ample job opportunities available across different sectors irrespective of the domains.
Some of the job roles available after B.Tech/BE are:
Artificial Intelligence Engineer: Roles and Responsibilities
The AI engineers are responsible for building AI models from scratch and helping the different components of the organisation. The AI engineers are also responsible for building data ingestion and data transformation infrastructure.
The AI engineers are expected to create and manage the AI development process and overall infrastructure of the product. They are responsible for conducting statistical analysis and interpreting the results so that they can guide the organisation's decision-making process.
Basic Qualification: BE/Btech in Artificial Intelligence, BCA in Artificial Intelligence and BSc in Artificial Intelligence etc.
Salary: The salary ranges from 3 lakhs to 5 lakhs per annum
Machine Learning Engineer: Roles and Responsibilities
The Machine Learning Engineers are responsible for performing statistical analysis, fine tuning of test results. Machine learning engineers are also responsible for training and resolving ML systems by working on different frameworks.
They are required to undertake machine learning test experiments and fix the bugs that they come across during their tests. Machine learning engineers are expected to understand and use computer science fundamentals, including data structures, algorithms, computability and complexity and computer architecture. They are required to apply machine learning algorithms and libraries.
Basic Qualification: BE/Btech in Artificial Intelligence and Machine Learning, BCA in Artificial Intelligence and Machine Learning.
Salary: The salary ranges from 4 lakhs to 6 lakhs per annum.
Data Scientist: Roles and Responsibilities
The Data Scientists work closely with business stakeholders to understand their goals and determine how data can be used to achieve those goals. They design data modelling processes, create algorithms and predictive models using different AI and ML techniques, to extract the data required for the business needs.