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Career options for Computer Science(CS) or Information Technology(IT) Engineers

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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.
IOT Developer Deeper Understanding of Sensors, AI and Machine Learning, UI & UX Design, Knowledge of JavaScript and Python, Raspberry Pi, Big Data
 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
 Enterprise Applications  SAP
 Cloud Engineers  AWS, Azure, OpenStack, Web Services, API, REST, RPC, Virtualization, Storage, Networking, Disaster Recovery, High Availability, Fail Over and Redundancy.
 Web Designer  HTML, HTML5 , Javascript, Flash
 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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