AI DevOps Technologist

About this kind of role

What a AI DevOps Technologist usually does. The employer's own details are in the listing.

Typically does: This role focuses on integrating Artificial Intelligence (AI) and Machine Learning (ML) models into production environments, automating deployment pipelines, and ensuring the reliability and scalability of AI-powered applications. Responsibilities include managing infrastructure, monitoring model performance, and collaborating with data scientists and software engineers. The technologist also works to streamline the ML lifecycle, from development to deployment and ongoing maintenance.

Tools and skills: Proficiency in cloud platforms (e.g., AWS, Azure, GCP), containerization technologies (Docker, Kubernetes), scripting languages (Python, Bash), CI/CD tools (Jenkins, GitLab CI), and experience with machine learning frameworks (TensorFlow, PyTorch) is generally expected.

Good fit for: Individuals with a strong background in DevOps practices and a keen interest in AI/ML technologies often thrive in this role.