CACI is seeking a skilled and experienced mid-level AI/ML Engineer to support a DoD client in Suitland, MD. The ideal candidate will have a strong background in machine learning, deep learning, and AI system development, with a proven track record of designing, developing, and deploying machine learning models. This role requires a deep understanding of MLOps, containerization, and CI/CD pipelines, as well as advanced knowledge in data preprocessing and cloud environments.
Requirements
- Experience in MLOps, containerization (e.g., Docker, Kubernetes), and CI/CD pipelines.
- Proficiency in designing, developing, and deploying machine learning models.
- Advanced knowledge in data preprocessing, including handling large datasets in cloud environments.
- Experience in developing custom AI APIs and integrating them into enterprise applications.
- Strong knowledge of programming languages for Machine Learning (Python, R, or similar).
- Good understanding of AI cloud tools and capabilities.
- Familiarity with Responsible AI (RAI) policies and development of metrics, measurements, and evaluation methods for AI.
Responsibilities
- Design, develop, and deploy machine learning models and manage pipelines using tools such as Azure ML, Kubeflow, or MLflow.
- Implement and manage MLOps practices, including containerization (e.g., Docker, Kubernetes) and CI/CD pipelines.
- Handle large datasets in cloud environments, performing advanced data preprocessing.
- Develop custom AI APIs and integrate them into enterprise applications.
- Ensure adherence to Responsible AI (RAI) policies and develop metrics, measurements, and evaluation methods for emerging and existing AI areas.
- Collaborate with cross-functional teams to identify opportunities for AI/ML integration and improvement.
Other
- TS/SCI Clearance
- Minimum Clearance Required to Start: TS/SCI
- Percentage of Travel Required: Up to 10%
- Type of Travel: Local
- Bachelor’s degree in Computer Science, Data Science, Mathematics, Statistics, Engineering, or a related field.
