CCS Global Tech is a rapidly growing Information Technology company with a diverse portfolio of technology products and services and a large network of industry partnerships. With over 22 years of being a successful business with a global talent pool and presence, CCS is a certified Microsoft Gold Partner and specializes in delivering expert Microsoft based solutions for technical and business needs. We have been recognized by Inc. 500 Magazine as one of the fastest growing small companies in the Unites States.
we are a Tier 1 vendor for the City and County of San Francisco for Cloud Services, Staffing Services and Training Services. For this multi-year opportunity with a diverse set of needs to address, we are currently focusing on establishing partnerships with individuals as well as companies who can help us enhance our overall service portfolio, cut lead times, and ultimately help us deliver successfully. We currently hold sizable Government accounts in the San Francisco bay area including City and County of San Francisco, San Mateo County, and Santa Clara County.
We take great pride in our global reach and local influence. Your experience alongside our highly skilled and talented internal team who guide you along the way, offers key insights into what helps you stand out in a competitive job market.
If you are a partner company, please submit resumes with contact information of your own W2 Consultants only. Submitted consultants are expected to have excellent communication skills.
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.
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