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Intelligent systems engineer skills for your resume and career

Updated January 8, 2025

4 min read

Below we've compiled a list of the most critical intelligent systems engineer skills. We ranked the top skills for intelligent systems engineers based on the percentage of resumes they appeared on. For example, 41.6% of intelligent systems engineer resumes contained artificial intelligence as a skill. Continue reading to find out what skills an intelligent systems engineer needs to be successful in the workplace.

15 intelligent systems engineer skills for your resume and career

1. Artificial Intelligence

Artificial intelligence pertains to a branch of computer science that focuses on developing smart machines that perform tasks that usually require human intelligence.

Here's how intelligent systems engineers use artificial intelligence:

Authored, developed, and designed artificial intelligence systems, using primarily Java and Lisp
Researched and identified different natural language processing tasks, artificial intelligence strategies and machine learning techniques to be applied.

2. Java

Java is a widely-known programming language that was invented in 1995 and is owned by Oracle. It is a server-side language that was created to let app developers "write once, run anywhere". It is easy and simple to learn and use and is powerful, fast, and secure. This object-oriented programming language lets the code be reused that automatically lowers the development cost. Java is specially used for android apps, web and application servers, games, database connections, etc. This programming language is closely related to C++ making it easier for the users to switch between the two.

Here's how intelligent systems engineers use java:

Developed in Java under the Android API.
Transformed usability designs into actionable development specifications and test plans for UI fundamentals, Java widgets and operator-specific cell phone applications.

3. Python

Python is a widely-known programming language. It is an object-oriented and all-purpose, coding language that can be used for software development as well as web development.

Here's how intelligent systems engineers use python:

Added to Python codebase of internal back-end automation framework, automating malware analysis using Cuckoo and ElasticSearch- Kibana.
Authored hundreds of python utilities to integrate various tasks and software packages into a highly automated asset management pipeline.

4. Architecture

Here's how intelligent systems engineers use architecture:

Created, installed and supported VOIP architecture utilizing the vast Interactive suite of products in 3.0 and 4.0.
Designed Architecture and Process Model of the system.

5. Cloud

Cloud is a server that is accessed over the internet. There are different programs and software that also run on these servers. These clouds can be accessed from anywhere in the world as they are not present in your computer storage, but have their online servers. Cloud consists of data centers all across the world.

Here's how intelligent systems engineers use cloud:

Implemented automation and integration for cloud and system infrastructure solutions using Puppet and Chef.
Provided Cloud DevOps integration support by integrating newly developed applications into the cloud.

6. ETL

Here's how intelligent systems engineers use etl:

Advise project teams through ETL Target systems development requirements process throughout development, test, stage, and production environments.
Performed database tuning, data validation and ETL data transactions of massive record sets containing millions of records.

7. TS/SCI

Here's how intelligent systems engineers use ts/sci:

Retired intelligence professional with TS/SCI poly clearance seeks local job in west Florida.

8. DOD

Definition of Done (DoD) is a set of deliverables that are needed to devise software. These deliverables are valuable to the system and can be exemplified by writing code, coding comments, unit testing, integration testing, design documents, release notes, and so on.

Here's how intelligent systems engineers use dod:

Served as Information Systems Security Officer for closed area lab network comprised of several DOD classified information systems.
Engage in customer teleconference to verify user and mail accounts matched appropriate DoD Identification numbers prior to migration.

9. Intelligence Systems

Here's how intelligent systems engineers use intelligence systems:

Provided intelligence systems integration, configuration, requirement management, and training support.
Specialized in the use of intelligence systems and data to reduce uncertainty for commanders at all levels.

10. GIT

Here's how intelligent systems engineers use git:

Coordinated/assisted developers with establishing and applying appropriate branching, labeling/naming conventions using GIT source control.
Collaborated to source code and document development using Git repository version control system.

11. Data Warehouse

Data warehouse, often abbreviated as either DW or DWH is a system used in computing for data analysis as well reporting. The DW is also considered to be an integral component of business intelligence as they also provide storage facilities for both real-time and historical data. ETL and ELT are the two driving forces behind a data warehouse system.

Here's how intelligent systems engineers use data warehouse:

Increased internal data consistency 37% through call system/data warehouse integration.
Worked as a Data Warehouse and Business Intelligence Developer.

12. Data Quality

Here's how intelligent systems engineers use data quality:

Established clear guidelines to the Data Quality team to gather data.
Implemented Unix scripts to automate a processes- SCD type auto correct, Data Quality Checks, Flat file processing System.

13. Technical Support

Technical support or tech support are the services provided by any hardware or software company to users. They help in solving the technical difficulties the customers face with their products or services. Moreover, the tech support employees maintain, manage, and repair the IT faults. They are also responsible for resolving the network problems, installing and configuring hardware and software.

Here's how intelligent systems engineers use technical support:

Supported the entire PA development team by providing DevOps/Technical support for custom open source development tools.
Provided technical support on a corporate funded initiative focused on developing an enterprise view of the national biosecurity landscape.

14. SME

The term â€˜small and medium-sized enterprises' is meant to describe businesses of varied sizes who fall below certain limits and targets set by various organizations, such as the World Bank and the UN. SMEs, as they are commonly known, are an important part of any economy and generally, in healthy economies, should vastly outnumber other forms of business, such as multi-level corporations, because they collectively employ more people, pay better, and produce more money.

Here's how intelligent systems engineers use sme:

Provided SME support for the development and delivery of challenging work products to meet or exceed desired results.
Served as subject matter expert (SME) / straw man team member on several proposal teams.

15. National Security

Here's how intelligent systems engineers use national security:

Identified, prioritized, and solved difficult sponsor problems, particularly of national security significance.
Developed exemption and equivalency requests for out-of-compliance fire protection systems for facilities at the Nevada National Security Site.

What skills help Intelligent Systems Engineers find jobs?

Tell us what job you are looking for, we’ll show you what skills employers want.

List of intelligent systems engineer skills to add to your resume

The most important skills for an intelligent systems engineer resume and required skills for an intelligent systems engineer to have include:

Artificial Intelligence
Java
Python
Architecture
Cloud
ETL
TS/SCI
DOD
Intelligence Systems
GIT

Data Warehouse
Data Quality
Technical Support
SME
National Security
SAS
Unix
Technical Solutions
Engineering Support
NGA

Remote Sensing
SQL Server
Teradata
Intelligence Products
Windows
Test Cases
Cotr
SharePoint
Visual C++

Updated January 8, 2025

Zippia Team

Editorial Staff

The Zippia Research Team has spent countless hours reviewing resumes, job postings, and government data to determine what goes into getting a job in each phase of life. Professional writers and data scientists comprise the Zippia Research Team.

Updated January 8, 2025

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