CACI is seeking a skilled and experienced Senior-level AI/ML Engineer to support a DoD client in Suitland, MD. The ideal candidate will have a strong background in AI/ML development and deployment, with a proven track record of designing and implementing scalable AI solutions on cloud platforms. This role requires advanced knowledge in architecting high-performing AI systems, big data processing, and integrating AI/ML models with existing enterprise systems.
Requirements
- Active TS/SCI clearance
- 6–10 years of experience in AI/ML development and deployment.
- Proven experience in designing and implementing AI/ML solutions and pipeline tools on the cloud.
- Advanced knowledge of architecting scalable and high-performing AI systems for predictive analytics, natural language processing, and computer vision.
- Extensive experience with cloud AI platforms such as Azure Machine Learning, AWS SageMaker, or Google Vertex AI.
- Demonstrated expertise in big data processing and advanced ML techniques
- Deep knowledge of programming languages for Machine Learning (Python, R, or similar).
Responsibilities
- Design, develop, and deploy scalable AI/ML solutions on cloud platforms.
- Architect high-performing AI systems for various applications, including predictive analytics, natural language processing, and computer vision.
- Implement and manage AI pipelines and tools on cloud environments.
- Integrate AI/ML models with existing enterprise systems and ensure seamless operation.
- Utilize advanced ML techniques and big data processing to enhance model performance.
- Adhere to Responsible AI policies and develop metrics for evaluating AI solutions.
- Stay updated with the latest trends and advancements in AI/ML technologies.
Other
- Minimum Clearance Required to Start: TS/SCI
- Percentage of Travel Required: Up to 10%
- Type of Travel: Local
- Bachelor's or Master's degree in Computer Science, Information Technology, Management Information Systems, or related STEM field.
- Experience with containerization and orchestration technologies (e.g., Docker, Kubernetes).
