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Experienced Software Developers in College Station, TX

Knowledge Based Systems Inc

College Station, TX 77840
and 3 other locations
6w ago
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compensation:

$80K - $100K*

specialty:

Software Development

experience:

Not Specified

Job Description

KBSI is seeking candidates with any combination of the following skills:

  • Knowledge of HTML5 and CSS3
  • Experience coding and debugging JavaScript
  • Experience working with jQuery, REST, JSON, AJAX, AngularJS.
  • Experience with designing & developing the UI for websites and web applications
  • Experience with one or more of the following: .Net, Java, MVC
  • Experience with SQL, Microsoft SQL Server and relational database development
  • Knowledge & understanding of mobile or responsive web design technologies
  • Desire and willingness to work as part of a distributed, collaborative & innovative team
  • Strong organizational and communication skills and ability to work in a multi-disciplinary team
  • Prefer experience using TFS or comparable source control solutions

Consideration will be given to both breadth and depth of coverage.

Experien

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Valid through: 2020-3-5

About Knowledge Based Systems Inc

A knowledge-based system (KBS) is a computer program that reasons and uses a knowledge base to solve complex problems. The term is broad and is used to refer to many different kinds of systems; the one common theme that unites all knowledge based systems is an attempt to represent knowledge explicitly via tools such as ontologies and rules rather than implicitly via code the way a conventional computer program does. A knowledge based system has two types of sub-systems: a knowledge base and an inference engine. The knowledge base represents facts about the world, often in some form of subsumption ontology. The inference engine represents logical assertions and conditions about the world, usually represented via IF-THEN rules. Knowledge-based systems were first developed by artificial intelligence researchers. These early knowledge-based systems were primarily expert systems – in fact, the term is often used synonymously with expert systems. The difference is in the view taken to describe the system: "expert system" refers to the type of task the system is trying to assist with – to replace or aid a human expert in a complex task; "knowledge-based system" refers to the architecture of the system – that it represents knowledge explicitly (rather than as procedural code). While the earliest knowledge-based systems were almost all expert systems, the same tools and architectures can and have since been used for a whole host of other types of systems – i.e., virtually all expert systems are knowledge-based systems, but many knowledge-based systems are not expert systems. The first knowledge-based systems were rule based expert systems. One of the most famous was Mycin a program for medical diagnosis. These early expert systems represented facts about the world as simple assertions in a flat database and used rules to reason about and as a result add to these assertions. Representing knowledge explicitly via rules had several advantages:
Total Jobs:
1
Average Pay:
$90,000
Total value of jobs:
$90,000
% Masters:
61%
* Ladders Estimates