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Computing professionals might find themselves in a variety of environments in academics, research, industry, government, private and business organizations -- analyzing problems for solutions, formulating and testing, using advanced communications or multi-media equipment, or working in teams for product development.
Here's a short list of Career options for aspiring Computer Science(CS) or Information Technology(IT) Engineers
Artificial Intelligence -- Develop computers that simulate human learning and reasoning ability.
Computer Design and Engineering -- Design new computer circuits, microchips, and other electronic components.
Computer Architecture -- Design new computer instruction sets, and combine electronic or optical components to provide powerful but cost-effective computing.
Information Technology -- Develop and manage information systems that support a business or organization.
Software Engineering -- Develop methods for the production of software systems on time, within budget, and with few or no defects.
Computer Theory -- Investigate the fundamental theories of how computers solve problems, and apply the results to other areas of computer science.
Operating Systems and Networks -- Develop the basic software computers use to supervise themselves or to communicate with other computers.
Software Applications -- Apply computing and technology to solving problems outside the computer field - in education or medicine, for example.
There is lot of fields in computer science. Let have a look at Career options for aspiring Computer Science(CS) or Information Technology(IT) Engineers, and required skill set to get a job in these fields.
|JOB Category||Required Skill Set|
|Data Scientist||Python Coding, Hadoop Platform, SQL Database/Coding, Apache Spark, Machine Learning and AI, Data Visualization, Unstructured data|
|Machine Learning Engineer||Python/R/C++/JAVA Coding, Probability and Statistics, Data Modeling & Evaluation, Machine Learning Algorithms, Distributed Computing, Advanced Signal Processing Techniques|
|AI Developer||understanding of AI concepts, statistics, and mathematics, along with expertise in programming languages, such as Python. Under Python, knowledge of libraries, such as TensorFlow, SciKit Learn, and Keras are heavily sought-after. Machine Learning:- Expertise in fields, such as text mining, data pre-processing, and data cleaning is another must-have.|
|Big Data Analytics||Programming skills +Data Structure & Algorithms+ Analytical skills + Database Skills + Mathematics + Machine Learning + NLP+OS+Cryptography + Parallel Programming.|
|HADOOP Developer||Knowledge in Hadoop ecosystem and its components:- HBase, Pig, Hive, Sqoop, Flume, Oozie, etc., Good knowledge in back-end programming like JAVA, Python and JS, Ability to write MapReduce jobs,|
|Computer Scientist||Complex Problem Solving Skills|
|Cloud Engineers||AWS, Azure, OpenStack, Web Services, API, REST, RPC, Virtualization, Storage, Networking, Disaster Recovery, High Availability, Fail Over and Redundancy.|
|Web Developer||J2EE, ASP.Net, PHP, Python-DJANGO|
|Application Developer||C, C++, Core Java, .Net, Java Swing|
|Database Administrator||Pl SQL, Database Tuning|
|Network Engineer||CCNA, CCNP Certification|
|Hardware Engineer||CSE Basics|
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