Toledo, Ohio, 43604
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Onsite
Job description
Job Summary
We are in search of an AI Systems Engineer who will take charge of the deployment, model management, and overall operation of our AI systems. This position is pivotal, positioned at the crossroads of DevOps, MLOps, and FinOps, ensuring that our AI infrastructure runs efficiently and effectively. The ideal candidate will have demonstrated success in managing AI or service infrastructures, showcasing the value they contribute to the organization.
Responsibilities
- Oversee the implementation and management of AI models and services.
- Coordinate with cross-functional teams to ensure seamless integration of AI systems within existing infrastructures.
- Monitor system performance and optimize resources to uphold service quality.
- Utilize best practices in DevOps to streamline workflow and enhance productivity.
- Assess system metrics to derive insights that inform strategic decisions.
Qualifications
- Demonstrated experience in AI and service infrastructure management.
- Strong background in DevOps principles and practices.
- Proven track record in MLOps, enhancing the lifecycle of machine learning models.
- Familiarity with financial operations as they pertain to technology deployments.
EY 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.
