Riverside Research is seeking to solve national security technical problems by developing and deploying AI and machine learning models
Requirements
- Familiarity with machine learning concepts and frameworks (e.g., TensorFlow, PyTorch).
- Basic understanding of cloud platforms (e.g., AWS, Azure, GCP) and containerization technologies (e.g., Docker, Kubernetes).
- Proficient in programming languages such as Python or Java.
- Knowledge of version control systems, preferably Git.
- Understanding of data storage technologies (e.g., SQL, NoSQL databases).
- Familiarity with monitoring tools and methodologies.
- Internship or project experience in machine learning or AI operations.
Responsibilities
- Assist in deploying and managing machine learning models and AI systems in production environments.
- Monitor system performance and troubleshoot issues related to model operations.
- Help maintain model versioning and ensure compliance with data governance standards.
- Collaborate with cross-functional teams to assist with data sourcing, preprocessing, and feature engineering.
- Support the automation of machine learning workflows and CI/CD pipelines.
- Document processes, system configurations, and standard operating procedures.
- Stay updated on industry trends and best practices in AIML operations.
Other
- A minimum of 5 years related experience with a Bachelors Degree, 3 years with a Master's Degree.
- Ability to obtain any required clearances in the future.
- Excellent communication and teamwork abilities.
- Strong problem-solving skills and attention to detail.
- All Riverside Research opportunities require U.S. Citizenship.
