
Enterprise AI Governance Specialist
2 days ago
Key Responsibilities:
- Leverage extensive experience in data science, machine learning, and AI fields to drive effective AI governance.
- Possess leadership experience related to AI strategy or innovation with a proven track record of establishing AI frameworks and standards.
- Collaborate effectively with AI teams to influence their work with strong technical background in modern AI/ML technologies and methodologies.
Technical Expertise Requirements:
- Develop deep expertise in modern AI frameworks for enterprise applications.
- Gain hands-on experience with large language models and implement Retrieval-Augmented Generation architectures.
- Implement vector databases and embeddings models.
- Evaluate and govern foundation models for specific business domains and implement AI governance tools.
- Understand AI infrastructure requirements including GPU optimization, and experience working with cloud AI platforms.
- Knowledge of AI evaluation metrics and techniques for measuring model performance.
- Apply containerization and orchestration for AI deployments and have a strong understanding of data engineering principles for AI workloads.
Benefits:
- Opportunity to drive AI strategy and governance.
- Collaborative work environment with experienced AI professionals.
- Professional development opportunities.
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