Job Summary
We are looking for an experienced AI Systems Engineer who will take charge of the delivery and operational activities at the nexus of DevOps, MLOps, FinOps, and observability. This role is critical for enhancing our AI and service infrastructures, ensuring they are running efficiently and effectively while aligning with business goals.
Responsibilities
- Oversee the implementation and maintenance of AI systems, ensuring they integrate seamlessly with existing DevOps practices.
- Manage the observability framework to enhance system performance and reliability.
- Coordinate cross-functional teams to facilitate the deployment of AI models and services.
- Ensure compliance with best practices in operations management for AI and machine learning systems.
- Analyze system performance and identify areas for improvement to maximize operational efficiency.
Qualifications
- Demonstrated experience in operating AI or service infrastructure, showcasing a strategic approach to system management.
- Strong background in DevOps principles and practices, coupled with familiarity in MLOps and FinOps.
- Proven ability to lead teams and initiatives, driving projects to successful completion.
- Exceptional analytical skills with a focus on performance optimization within AI environments.
- Excellent communication skills to engage with various stakeholders effectively.
Ernst & Young provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
