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Artificial Intelligence Model Evaluation Specialist
3 weeks ago
- Develop and deploy evaluation frameworks assessing models at all stages, tracking key performance indicators such as accuracy, latency, throughput, and memory footprint.
- Create evaluation datasets and benchmarks to measure model robustness and improvements.
- Collaborate with product, engineering, and data teams to align evaluation metrics with business goals, presenting insights through interactive dashboards and reports.
- Analyze evaluation data to identify bottlenecks, propose optimizations, and enhance model performance and scalability.
- Refine evaluation methodologies through experiments and research, staying updated on emerging techniques.
- Degree in Computer Science or related field; PhD in NLP, Machine Learning, or similar is preferred.
- Proven experience in designing and evaluating AI models across different lifecycle stages.
- Strong programming skills and experience with evaluation benchmarks, pipelines, and performance metrics.
- Ability to conduct iterative experiments and stay current with emerging trends.
- Experience working with cross-functional teams and translating technical insights into actionable recommendations.