Job description
Job Summary
The position of AI Systems Engineer – DevOps & Observability Manager focuses on leading the delivery and implementation of AI systems. This role involves a convergence of various disciplines including DevOps, MLOps, and FinOps, ensuring robust infrastructure is in place to support AI initiatives.
Responsibilities
- Oversee the deployment and management of AI models and systems.
- Collaborate across teams to integrate DevOps practices with AI operational needs.
- Ensure the observability of AI systems, enhancing performance monitoring and troubleshooting.
- Maintain and optimize service infrastructure, ensuring high availability and reliability.
- Work closely with stakeholders to demonstrate the value and contributions of AI technologies to business objectives.
Qualifications
- Demonstrated experience in managing AI or service infrastructure.
- Strong ability to blend technical expertise in DevOps with AI system requirements.
- Proven skills in fostering collaborative environments across various operational functions.
- Capability to effectively communicate technical concepts to diverse audiences.
- Educational background or certification relevant to AI, DevOps, or related fields is preferred.
