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Mid-Level Software Engineer – ML​/Data Pipelines | TS​/SCI

Job in Linthicum, Anne Arundel County, Maryland, USA
Listing for: Integrity Technology Consultants
Full Time position
Listed on 2026-05-29
Job specializations:
  • Software Development
    Software Engineer, DevOps
Salary/Wage Range or Industry Benchmark: 100000 - 125000 USD Yearly USD 100000.00 125000.00 YEAR
Job Description & How to Apply Below

Description

ITC is a Woman Owned Small Business delivering exceptional consultation to the U.S. Government in Systems/Software Engineering, Cybersecurity Solutions, Mission Operations/INTEL Analysis, and Management Services in order to enable our customers to solve the most challenging problems. With continued growth comes opportunity, and we are currently searching for a Top-Secret SCI with polygraph-cleared

Software Engineer.

Responsibilities

The software engineer develops, maintains, and enhances complex and diverse software systems based upon documented requirements. Works individually or as part of a team. Reviews and tests software components for adherence to the design requirements and documents test results. Resolves software problem reports. Utilizes software development and software design methodologies appropriate to the development environment. Provides specific input to the software components of system design to include hardware/software tradeoffs, software reuse, use of Commercial Off-the-shelf (COTS)/Government Off-the-shelf (GOTS) in place of new development, and requirements analysis and synthesis from system level to individual software components.

  • Implement data pipelines at scale, including both the synthesizing of new pipelines and the refactoring of existing pipelines to improve efficiency and code correctness.
  • Monitor and improve existing data science tools in support of transition from development to production systems.
  • Design, implement, and enhance ML analytics using a wide variety of Python libraries including, but limited to, PyTorch, Num Py, Pandas, and Scikit-learn.
  • Train, test, track and curate models using standard tools and practices.
  • Integrate Git Ops for continuous integration and deployment of models using Docker scaling.
  • Use AWS services such as EC2, S3, and RDS for building and deploying applications.
  • Integrate model and tool outputs within Computer Network Defense (CND) systems and/or software tools to enhance, implement, and maintain the Security Management/Monitoring services and capabilities within the Agency IT Enterprise.
  • Document all processes and code; provide comprehensive reports on the completed tasks.
Description

ITC is a Woman Owned Small Business delivering exceptional consultation to the U.S. Government in Systems/Software Engineering, Cybersecurity Solutions, Mission Operations/INTEL Analysis, and Management Services in order to enable our customers to solve the most challenging problems. With continued growth comes opportunity, and we are currently searching for a Top-Secret SCI with polygraph-cleared Mid-Level Software Engineer.

Responsibilities

The software engineer develops, maintains, and enhances complex and diverse software systems based upon documented requirements. Works individually or as part of a team. Reviews and tests software components for adherence to the design requirements and documents test results. Resolves software problem reports. Utilizes software development and software design methodologies appropriate to the development environment. Provides specific input to the software components of system design to include hardware/software tradeoffs, software reuse, use of Commercial Off-the-shelf (COTS)/Government Off-the-shelf (GOTS) in place of new development, and requirements analysis and synthesis from system level to individual software components.

Essential Duties

  • Implement data pipelines at scale, including both the synthesizing of new pipelines and the refactoring of existing pipelines to improve efficiency and code correctness.
  • Monitor and improve existing data science tools in support of transition from development to production systems.
  • Design, implement, and enhance ML analytics using a wide variety of Python libraries including, but limited to, PyTorch, Num Py, Pandas, and Scikit-learn.
  • Train, test, track and curate models using standard tools and practices.
  • Integrate Git Ops for continuous integration and deployment of models using Docker scaling.
  • Use AWS services such as EC2, S3, and RDS for building and deploying applications.
  • Integrate model and tool outputs within Computer Network Defense (CND) systems and/or software tools…
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