Dimiour - Artificial Intelligence/Machine Learning Engineer - Data Modeling

Role : AI/ML resource with MLOps

Key Skills :

- 3+ years of experience in AI/ML/Gen AI use case development, deployment, and/or monitoring.

- Hands-on understanding of AI observability concepts, model performance tracking, and monitoring tools.

- Experience in documenting technical workflows, onboarding guides, and reporting dashboards.

- Proficiency in working with AI platforms, cloud tools (e.g., Azure, GCP, AWS), and basic scripting.

Required Skills :

Use Case Onboarding Support :

- Partner with AI/Gen AI use case teams across functions to guide them through the onboarding process onto the AI observability platform.

Troubleshooting & Enablement :

- Assist teams in identifying and resolving onboarding issues and recommend best practices for observability integration.

Stakeholder Engagement :

- Conduct regular check-ins with use case owners to gather feedback, resolve issues, and provide updates on onboarding progress.

Documentation & Reporting :

- Maintain up-to-date onboarding trackers, create documentation and status reports for leadership, and develop onboarding artifacts.

Cross-Functional Coordination :

- Act as a liaison between use case teams and the AI observability product team to share progress, blockers, and improvement opportunities.

Monitoring Support :

- Provide assistance with bug fixes and other platform support activities that ensure ongoing monitoring and value realization.

Use Case Health Reporting :

- Generate periodic reports on use case performance, health metrics, and provide insights or recommendations to enhance outcomes.

Knowledge Contribution :

- Help build knowledge base and reusable onboarding documentation, FAQs, templates, and

best practices.