Mid-Level Software Developer; Machine Learning

Mid-Level Software Developer (Machine Learning)

Mid-Level Software Developer (Machine Learning)
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 Software Developer (Machine Learning) 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 designing and integrating software components, including but not limited to, Deep Learning (DL) and adversarial Machine Learning (AML). 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

• Design, Develop, and Deploy 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 ML algorithms and software components using frameworks such as Lang Chain, PyTorch, and Tensor Flow, leveraging tools like Milvus, Chroma, or Pinecone for vector‑based search and data management.
• Advance Adversarial ML Capabilities: Research, develop, and evaluate adversarial machine learning techniques (such as counter–computer vision, robust model training, and threat‑resistant AI pipelines) to enhance system resilience against deception, spoofing, and model‑targeted attacks.
• Containerization and Deployment: Design, build, and package software for deployment using Docker and Kubernetes, ensuring efficient, portable, and secure execution across environments.
• 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, 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.

Requirements and

Qualifications:

• Educational Background: Must have a degree in Computer Science or a related technical field.
• Experience: Must have at least 3 years of software development experience.
• Technical Proficiency: Demonstrable skills in coding, data management, and software workflows. Must possess a strong understanding of algorithms, data structures, and software deployment infrastructure.
• Programm…