AI Systems Engineer - DevOps& Observability - Senior

About this kind of role

What a AI Systems Engineer - DevOps& Observability - Senior usually does. The employer's own details are in the listing.

Typically does: Designs, develops, and maintains infrastructure and tools to support artificial intelligence and machine learning systems. This role involves automating deployment pipelines, monitoring system performance, and ensuring the reliability and scalability of AI applications. Responsibilities often include troubleshooting issues, implementing security best practices, and collaborating with data scientists and software engineers. Senior engineers in this area typically lead projects and mentor junior team members.

Tools and skills: Proficiency in cloud platforms (e.g., AWS, Azure, GCP), containerization technologies (e.g., Docker, Kubernetes), scripting languages (e.g., Python, Bash), configuration management tools (e.g., Ansible, Terraform), and observability platforms (e.g., Prometheus, Grafana) is generally expected.

Good fit for: Individuals with a strong background in DevOps principles, a passion for automation, and a desire to work with cutting-edge AI technologies often thrive in this role.