Responsibilities
What you'll do.
- Support institutional clients on AI deployment architecture across cloud and on-premise environments.
- Implement AI governance integration: model documentation, model risk management, AI-specific control implementation.
- Design MLOps frameworks suitable for regulated-environment AI deployment.
- Develop AI documentation architecture: model cards, dataset cards, AI control narratives.
Requirements
What we look for.
- 4–7 years of AI engineering, MLOps, or AI systems analysis experience.
- Working familiarity with major ML frameworks, MLOps platforms, and at least one major cloud AI service.
- Experience deploying AI in production-grade environments, with operational and governance maturity.
Qualifications
Educational & professional credentials.
- Bachelor's degree in computer science, machine learning, statistics, or related field; Master's preferred.
- AI/ML-specific credentials valued.
Apply
How to apply.
Submit a brief expression of interest (one page maximum) outlining your relevant background, the strongest published or institutional work you have produced, and what draws you to this role at ELDR.
Send to careers@eldr.io with subject line: AI Systems Analyst — ELDR Technology