Overview:
The AI/Machine Learning Operator is responsible for maintaining, monitoring, and enhancing deployed machine learning (ML) and artificial intelligence (AI) systems. This role serves as a bridge between data science teams, IT, and end users to ensure models operate efficiently and deliver ongoing value. The ideal candidate will be hands-on in both development and operations, ensuring continuous improvement and scalability of AI/ML solutions.
Responsibilities:
•Monitor the performance of all deployed ML and AI models and systems
•Collaborate with data scientists and IT to re-train, update, and enhance models
•Gather and interpret user feedback and feature requests to inform improvements
•Maintain a roadmap of enhancements and upcoming features
•Ensure models are optimized, scalable, and aligned with business needs
Qualifications:
•Bachelor’s degree in Computer Science, Mathematics, Physics, Engineering, or a related field (preferred)
•Strong experience with ML/AI development and deployment
•Proficiency in Python and a Linux-based environment
•Hands-on experience with cloud platforms for running ML workloads
•Familiarity with Docker and Kubernetes for containerization and orchestration
•Understanding of data engineering workflows and databases (relational and NoSQL)
•Strong interpersonal skills and ability to translate user needs into technical solutions