Computer engineering has always been one of the most popular career options for young people. This is primarily due to the fact that the field is divided into numerous specializations, resulting in a plethora of career options for Computer Engineers. However, for many, the sheer number of career options available in Computer Engineering can be overwhelming. In fact, students who are still figuring out what they want to do with their professional lives are constantly confronted with one perplexing question: how to get job after computer science engineering?
Big Data Engineer
Big Data Engineers are in charge of creating, testing, and maintaining scalable Big Data ecosystems for businesses, allowing Data Scientists to run their algorithms on stable and optimized data systems.
Big Data Engineers typically collaborate closely with Data Architects, Data Analysts, and Data Scientists, all with the same goal in mind: to assist organizations in obtaining meaningful insights from large and complex datasets that can be transformed into actionable business decisions. Big data is one of the most promising career paths after computer engineering.
Machine Learning Engineer
Machine Learning Engineers are highly skilled ML experts who specialize in designing and constructing intelligent machines and systems that can learn from experience and perform human-like tasks with little or no human supervision.
They develop advanced machine learning algorithms that can teach computers how to perform specific tasks without having to explicitly program them to do so. Machine Learning Engineers also create cutting-edge ML and Deep Learning systems, as well as run various ML tests and experiments to create one-of-a-kind AI-powered machines.
Data Scientist
Data Scientists are the domain masters of Data Science. They are primarily concerned with extracting value from large amounts of complex data. Data Scientists collect information not only from the company repository but also from a variety of external sources (social media, websites, blogs, etc.). They clean, organize and process the data in order to extract the hidden patterns within it. This enables them to comprehend how the data at hand can be used to address the organization’s current business challenges.
Data Analyst
Data Analysts serve as the bridge between the worlds of data science and business. While Data Analysts spend a significant amount of time gathering relevant data from disparate sources, they must also be able to present their findings in ways that all stakeholders involved in a project can understand. They not only create but also modify algorithms in order to extract information from large databases without corrupting the data stored within.
Blockchain Developer
Blockchain Developer/Engineers, as the name suggests, are software experts who specialize in Blockchain technology. Blockchain Developers/Engineers manage and supervise the entire life cycle of Blockchain applications, from research and analysis to design and implementation. Blockchain developers and engineers must be well-versed in Blockchain architecture, data structures, cryptography, smart contract development, and web development.
These were the top 5 job opportunities after computer engineering. Click here to know more about how to learn data science from scratch.