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Software Engineer with Security Clearance

CCS Global TechAnnapolis, MD🇺🇸United StatesPosted 21 Jul 2026

Why This Role Stands Out

This exciting hybrid role offers significant growth potential as you develop cutting-edge AI/ML solutions in a secure environment, with a competitive salary range of $160,000-$260,000. You'll thrive here if you're a mid-senior software engineer with a passion for machine learning and a desire to contribute to mission-critical applications. If you have a TS/SCI FSP clearance and experience with AI/ML lifecycles, we encourage you to apply and advance your career.

Quick Overview

Salary
$160k - $260k/yr
Work Type
Hybrid
Level
Mid Senior

Job Description

Software Engineer TS/SCI FSP Annapolis Junction, Maryland 20701 $160,000 - $260,000 Experience 20+ Years and Bachelor of Science Job Description Client is seeking a Software Engineer with experience developing and deploying machine learning and artificial intelligence solutions within secure, high-performance computing environments. The selected candidate will work as part of a multidisciplinary engineering team to design, build, and optimize scalable AI/ML capabilities that support mission-critical applications. This position requires strong software engineering fundamentals combined with hands-on experience developing machine learning solutions, integrating open-source AI frameworks, and deploying models into production environments. The ideal candidate is comfortable working across the entire machine learning lifecycle-from data ingestion and preparation through model training, evaluation, deployment, and operational support. Responsibilities Design, develop, test, and maintain software applications supporting AI/ML capabilities. Develop and deploy machine learning models using modern Python-based frameworks. Integrate, fine-tune, and optimize Hugging Face transformer models for mission applications. Build and maintain data science workflows supporting data ingestion, preparation, feature engineering, model training, and evaluation. Develop scalable ETL pipelines to process structured and unstructured data from multiple sources. Work with data lakes and large datasets to support analytics and machine learning initiatives. Deploy AI/ML applications using containerization technologies including Docker and Kubernetes. Collaborate with data scientists, software engineers, and systems engineers to transition research into operational capabilities. Evaluate information retrieval techniques and improve search, ranking, and retrieval performance. Optimize model performance, inference speed, and resource utilization across distributed computing environments. Develop software that integrates with databases and enterprise data platforms. Support cluster-based computing environments, including job scheduling and workload management. Participate in Agile development activities including sprint planning, code reviews, testing, and documentation. Troubleshoot production issues and implement performance improvements across AI/ML systems. Requirements The Software Engineer, shall have at least the following experience: Twenty (20) years of experience as a Software Engineer (SWE) supporting programs and contracts of similar scope, type, and complexity. Bachelor's degree in Computer Science or a related discipline from an accredited college or university. Note: Four (4) additional years of SWE experience on projects with similar software processes may be substituted for a bachelor's degree. Experience developing software applications using Python. Experience developing, training, or integrating machine learning models into production software. Experience with Hugging Face Transformers or similar large language model frameworks. Experience with PyTorch or comparable deep learning libraries. Experience building ETL pipelines and supporting data engineering workflows. Experience working with large datasets, data lakes, and structured/unstructured data. Experience developing containerized applications using Docker. Experience deploying applications within Kubernetes environments. Experience with SQL and relational database technologies. Experience evaluating machine learning model performance and information retrieval techniques. Experience working in Linux environments. Strong problem-solving, debugging, and software design skills. Excellent written and verbal communication skills.

Skills

Docker
SQL
ETL
Machine Learning
Agile
Deep Learning
Hugging Face
Kubernetes
PyTorch
Python

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