Tools Administrator

Introduction Apply for the A.I. Tools Administrator role at CEI Engineering Associates, Inc. CEI is seeking a dedicated Artificial Intelligence Tools Administrator to be the operational backbone of our AI initiatives. You will be responsible for ensuring stability, performance, and continuous enhancement of our organization's AI platforms, turning data-driven insights into business value.

Key Responsibilities

• Platform Administration:
  Build, administer, and maintain the day-to-day operations of AI platforms, including Azure, AWS, GCP, and commercial off-the-shelf systems, ensuring peak stability and performance.
• Infrastructure Management:
  Oversee the provisioning, scaling, and monitoring of infrastructure required for AI workloads, aligning with enterprise standards.
• MLOps & CI/CD:
  Implement and maintain CI/CD pipelines for AI applications, applying Machine Learning Operations (MLOps) principles for automated monitoring.
• Model Performance & Optimization:
  Continuously monitor model performance, identify critical issues like “model drift” or decay, and proactively optimize costs associated with AI infrastructure.
• Data Quality Governance:
  Oversee the quality and content of data used for training AI models, ensuring accuracy and policy compliance.
• Deployment & Training:
  Lead the deployment of AI interfaces (e.g., CoPilot), provide guidance, and conduct engaging instructional sessions, workshops, and presentations for end-users.
• Documentation & Reporting:
  Maintain comprehensive documentation of AI models, data pipelines, and infrastructure, generating critical reports on usage metrics and compliance.

• A bachelor's degree in computer science, Information Technology, or a related field is strongly preferred.
• OR a minimum of five (5) years of directly relevant practical experience in databases, data analysis, or database administration may be considered in lieu of a formal degree.

• Valid State Driver's License.
• MLOps Certification (e.g., AWS, GCP, Databricks) is required.
  
  Note:
  
  We offer a clear pathway and financial support for candidates willing to obtain certification shortly after hiring.

• Relevant certifications in AI/ML (e.g., Azure AI Engineer, Google Professional ML Engineer).
• Database Management certifications (e.g., Oracle Certified Professional, AWS Certified Database - Specialty).

If you are ready to put your MLOps and AI administration skills to work in a role that directly impacts our technological growth and business intelligence, we encourage you to apply!