Mid-Level Data Scientist Security Clearance

Position: Mid-Level Data Scientist with Security Clearance
Mid-Level Data Scientist Full-time Huntsville, AL About Us Trideum Corporation is a 100% employee-owned company, committed to embracing the world's toughest challenges with a servant's heart. Through dedicated hard work and commitment, we provide distinctive quality and unparalleled customer service in all aspects of our business. We also know that our employees are the key to our success, and it is our mission to take care of them so they can take care of our customers and communities where we live, work, and play.

Position Summary We are seeking a Mid-Level Data Scientist to join our team in Huntsville, AL, contributing to multiple software and artificial intelligence programs in support of missile defense and space systems. In this pivotal role, you will apply expertise in Computer Science, Artificial Intelligence (AI), and Data Science to develop, deploy, and maintain advanced tools that drive automation, data analysis, and operational efficiency for our government customers.

You will be responsible for end-to-end AI/ML solution development, including but not limited to, Deep Learning (DL), Large Language Modeling (LLM), and distributed training. This role requires hands-on coding, system design, and the use of modern Dev Ops, containerization, and CI/CD practices to ensure robust, scalable, and secure deployments. The ideal candidate is a US citizen with an active Secret security clearance (and eligibility for Top Secret) who thrives on learning new technologies, solving complex problems, and building software that advances national security missions.

You'll work closely with multidisciplinary teams, contributing to the full lifecycle of software development, from concept and architecture to deployment and sustainment, across multiple software and AI/ML programs. What You'll Do
* Analyze and Interpret:
Identify, gather, and utilize datasets ranging from Ethernet network captures to radio frequency (RF) samples to train robust and efficient AI models.
* Design, Develop, and Deploy AI/ML Software:
Architect, code, and maintain scalable applications and backend APIs using Python, Docker, and related technologies, integrating AI/ML capabilities to enhance automation and decision support.
* Support AI/ML Programs:
Develop, implement, and optimize AI/ML algorithms and software components using frameworks such as PyTorch and Kubeflow.
* Containerization and Deployment:
Design, build, and package software for deployment using Docker and Kubernetes, ensuring efficient, portable, and secure execution across environments.
* Deploy AI/ML Solutions:
Understand how to deploy efficient AI/ML models, including large language models (LLMs), to solve complex and nuanced tasks such as text summarization.
* Implement CI/CD and Dev Ops Practices:
Develop automated pipelines using Git Lab or equivalent platforms for continuous integration, testing, and deployment, ensuring reliability and repeatability in software releases.
* Maintain Software Quality and Security:
Apply best practices in version control, code review, documentation, and secure coding, ensuring compliance with cybersecurity standards and government requirements.
* Collaborate Across Teams:
Engage with engineers, other data scientists, and system integrators to define technical solutions, share insights, and support multiple software and AI/ML initiatives.
* Innovate and Evolve:
Explore and evaluate emerging technologies to continuously improve performance, scalability, and user functionality across deployed systems.
* Travel Requirements:
Engage in minimum travel for purposes like onboarding, corporate training, test events and other essential corporate activities.

Required Qualifications:

* Educational Background:
Must have a degree in Computer Science, Mathematics, Software Engineering, or a related technical field.

* Experience:

Must have at least 3 years of data science or software development experience.
* Technical Proficiency:
Demonstrable skills in coding, data management, and software workflows. Must possess a strong understanding of machine learning workflows and software deployment infrastructure.
* Programming

Experience:

Extensive…