Software Engineer 2 (IFS - 004)

SageCor Solutions; Laurel (MD); On-site; USD 140,000 - 210,000; Full time

Job summary

SageCor Solutions seeks a senior SWE/ML engineer to join our Maryland/DC area presence, delivering high-performance compute and analytics capabilities. The role focuses on building scalable ML systems, data analytics, and full lifecycle engineering in a security-conscious environment.

Ideal candidates will have deep experience with Java/Scala, ML model development, and data pipelines, and will work across tools like Jira/Confluence, Git, and Jupyter notebooks in a Linux setting.

Qualifications

• Experience with Python and ML workflows in data analytics projects.
• Familiarity with Jira/Confluence for project tracking and documentation.
• Experience in Linux-based development environments.
• Strong knowledge of ML model development and monitoring.
• Experience with data science tools and ML libraries.

Responsibilities

• Develop ML models and analytics solutions.
• Collaborate with engineers and researchers on data pipelines.
• Document code and review documentation for projects.
• Contribute to model monitoring and performance analysis.

Skills

Python

GM Learn

EDA

Linux

ML concepts

Education

Bachelor’s degree in Computer Science or related discipline

Twenty (20) years SWE experience

Tools

Jira

Confluence

Lucene

JEXL

SQL

JSON

Random Forest

Jupyter Notebooks

IntelliJ

Eclipse

Git

GitLab

Stash/Bitbucket

Scikit-learn

Job description

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.