AI​/ML Engineer

DCCA is a veteran-owned high-technology company specializing in providing information technology services to a variety of government agencies and commercial enterprises since 1982. DCCA is proud to offer a strong, competitive compensation and benefits package. Visit our website at:  .

For over 40 years, DCCA has provided a broad range of IT services to government agencies and commercial enterprises, helping them to feel confident in their IT infrastructure. With DCCA, these organizations can be confident in the flexibility and skill of their IT partners, allowing them to upgrade their technology quickly and efficiently. Better yet, thanks to DCCA’s successful track record, clients can rest assured knowing DCCA can tackle any problem with ease, allowing them to focus on the work that matters.

Internally, DCCA prides itself on a culture built on integrity and inclusivity, allowing its employees to build lasting skills and relationships. As a veteran owned business, DCCA knows the importance of recruiting employees with a wide range of backgrounds, allowing for every problem to be approached by a diverse array of perspectives. Join us and be part of a team that has a people first mentality and a dedication to excellence.

• Model Deployment & MLOps:
  Architect, implement, and manage scalable MLOps pipelines for the continuous integration, continuous delivery (CI/CD), and continuous training (CT) of machine learning models within AWS Gov Cloud environments.
• AI/ML Integration:
  Seamlessly integrate predictive models, Natural Language Processing (NLP) algorithms, and deep learning neural networks into production microservices and enterprise applications.
• Algorithm Optimization:
  Optimize machine learning models for performance, latency, and scalability, ensuring they can process large volumes of real-time data efficiently.
• Cybersecurity & Defensive AI:
  Leverage machine learning for cybersecurity by integrating AI-driven threat detection, fraud prevention algorithms, and defensive cyber operations into system architectures.
• Edge AI & System Sustainment:
  Design lightweight AI models for Edge AI applications, ensuring high-performance computing capabilities are pushed closer to data sources where required by the mission.
• Infrastructure Management:
  Utilize cloud-native AI/ML services (e.g., AWS Sage Maker) and container orchestration platforms (e.g., Docker, Kubernetes) to provision and scale AI infrastructure dynamically.
• Compliance & Security:
  Ensure all AI/ML implementations strictly comply with the Risk Management Framework (RMF), NIST 800-53 security controls, and federal guidelines for algorithmic fairness and data privacy.

• Experience:
  
  Minimum of 5+ years of hands-on experience in software engineering with a primary focus on deploying and operationalizing AI/ML models.
• Programming
  
  Languages:
  
  Expert-level proficiency in Python, as well as strong capabilities in Java, C++, or Go.
• Machine Learning Frameworks:
  Deep technical knowledge of industry-standard AI/ML frameworks such as Tensor Flow, PyTorch, Keras, and Scikit-Learn.
• Cloud & MLOps:
  Proven experience with AWS machine learning services (e.g., Sage Maker) and building automated MLOps pipelines using Git, Jenkins, or Git Lab CI.

Clearance: TS/SCI w/Poly

• Prior experience in engineering AI solutions for federal agencies, including the Department of Defense (DoD), Defense Information Systems Agency (DISA), or the Intelligence Community.
• Familiarity with Cognitive Automation and Robotic Process Automation (RPA) tools.
• Experience with advanced AI disciplines, including Deep Learning for Signal Processing and Electronic Warfare integration.
• Active industry-recognized certifications (e.g., AWS Certified Machine Learning – Specialty, SAFe Agile Certification).

Education:

Bachelor’s or master’s degree in computer science, Artificial Intelligence, Machine Learning, Data Engineering, or a related highly technical discipline.

The proposed salary range for this position in Virginia is 195,000 to 259,000. Final salary will be determined based on various factors. Our…