Serving Maryland and the Greater Washington D.C. area, SageCor Solutions (SageCor) is a growing company bringing complete engineering services and true full lifecycle System Engineering services to areas requiring (or desiring) nationally-recognized expertise in high performance computing, large data analytics and cutting edge information technologies.
Active TS/SCI w/ Polygraph required.
Must Have Skills:
- Experience with Python
- Experience with GM Learn
- Exploratory Data Analysis (EDA)
- Experience with Jira
- Experience with Confluence
- Experience developing in a Linux operating environment
Required Skills:
- Experience with Java and Scala
- Experience with Lucene, JEXL, SQL, JSON
- Random Forest and ability to do feature development for Random Forest
- Experience with Machine Learning Model building and monitoring
- Experience with Map/Reduce)
- Experience with Jupyter Notebooks
- Experience with IntelliJ and/or Eclipse
- Experience with Git/Gitlab and/or Stash/Bitbucket
- Experience with Scikit-learn
- Experience with documentation and reviewing documentation
Desired Skills:
- Data Science skills/background
- Experience with AWS
- Experience implementing ML systems
- Experience with Spark
- Agentic AI
- Large Language Models (LLM)
- Machine Learning Feature Development
- Other Machine Learning models and techniques
SWE-3 LCAT Qualifications:
Twenty (20) years experience as a SWE in programs and contracts of similar scope, type, and
complexity is required. Bachelor’s degree in Computer Science or related discipline from an
accredited college or university is required. Four (4) years of additional SWE experience on
projects with similar software processes may be substituted for a bachelor’s degree.
SWE-2 LCAT Qualifications:
Fourteen (14) years experience as a SWE in programs and contracts of similar scope, type, and
complexity is required. Bachelor’s degree in Computer Science or related discipline from an
accredited college or university is required. Four (4) years of additional SWE experience on
projects with similar software processes may be substituted for a bachelor’s degree.
Consistent with federal and state law where SageCor conducts business, SageCor Solutions provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status, or any other protected class.
Skills Required
- Experience with Python
- Experience with GM Learn
- Exploratory Data Analysis experience
- Experience with Jira
- Experience with Confluence
- Experience developing in a Linux operating environment
- Experience with Java and Scala
- Experience with Lucene, JEXL, SQL, and JSON
- Random Forest experience and feature development ability
- Experience building and monitoring machine learning models
- Experience with MapReduce
- Experience with Jupyter Notebooks
- Experience with IntelliJ and/or Eclipse
- Experience with Git/GitLab and/or Stash/Bitbucket
- Experience documenting and reviewing documentation
- Fourteen years of software engineering experience on similar programs and contracts
- Bachelor's degree in Computer Science or a related discipline, or four additional years of relevant software engineering experience
- Active TS/SCI clearance with polygraph
- Data science skills or background
- Experience with AWS
- Experience implementing machine learning systems
- Experience with Spark
- Experience with Agentic AI
- Experience with Large Language Models
- Machine learning feature development experience
- Experience with other machine learning models and techniques
What We Do
SageCor Solutions is a Maryland-area engineering firm serving Intelligence Community and Department of Defense customers. Founded to support high-performance computing missions, it now delivers full-lifecycle systems engineering, high-performance data analytics, artificial intelligence and machine learning, cloud architecture, software and hardware design, cybersecurity, testing, and technical advisory services. Its mission is to solve complex national-security technology challenges through specialized engineering expertise.

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