AI/ML Engineer

AI/ML Engineer

Location Chantilly, VA

Job Code 2639

of Openings 1

Apply Now (https://phg.tbe.taleo.net/phg02/ats/careers/v2/applyRequisition?org=DCCAMD&cws=39&rid=2639)

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: www.dcca.com .

AI/ML Engineer

CANDIDATES MUST HAVE AN ACTIVE TS/SCI w/ Poly

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.

Key Tasks:

• 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 GovCloud 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 SageMaker) 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.

Required Skills:

• 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 TensorFlow, PyTorch, Keras, and Scikit-Learn.

• Cloud & MLOps: Proven experience with AWS machine learning services (e.g., SageMaker) and building automated MLOps pipelines using Git, Jenkins, or GitLab CI.

• Clearance: TS/SCI w/Poly

Desired Skills :

• 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/Certifications:

• 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 comprehensive benefit offerings include healthcare, retirement plan, paid disability and life insurance programs, employee assistance program, paid and unpaid leave programs, education assistance, and wellness initiatives.

At DCCA, we believe the key to providing our clients with unrivaled services starts with retaining top talent, something we’re able to do through our consistent commitment to building culture and comprehensive benefits.

Competitive Compensation: While salary at DCCA is determined by various factors, we are committed to making sure our salaries reflect the skill and expertise of our employees. In addition, each year we perform an annual salary review ensuring pay is equitable across both the company and industry at large.

Growth Opportunities: DCCA makes it a priority to help you grow and support your career advancement. From upskilling programs to recertification support, to professional development opportunities, we’re here to help you grow your career and create lasting relationships.

Emphasis on Inclusivity: DCCA’s culture emphasizes respect, equity, and opportunity and is supported by an array of business resource groups and other opportunities for connection.

Empowering Health: DCCA’s benefits which encompass healthcare, paid time off, and flexible 401(k) options encourage you to live a healthy and fulfilling life, both in and outside of work. Learn more about our total benefits package on our Benefits page (https://www.dcca.com/career/benefits) .

Mission Focused Work: From the defense industry to health IT management, DCCA allows you to work on innovative projects whose outcomes improve people's lives and solve today’s IT problems.

Equal Opportunity Employer including Disability/Vets