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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