We are looking for a Senior AI Model Tester to drive the quality, reliability, and performance of AI/ML systems across critical business use cases.
- Lead AI model quality assurance, evaluation, and benchmarking strategy
- Design frameworks to evaluate accuracy, drift, bias, and performance under stress
- Define and track AI KPIs (precision, recall, LLM evaluation metrics)
- Build automated validation pipelines across lower environments and path-to-live
- Identify and mitigate bias, rogue outputs, and model disparities
- Establish data quality standards for fair AI outcomes
- Implement MLOps practices within CI/CD pipelines
- Collaborate closely with engineering and DevOps teams
Required Experience
- 5+ years in QA / Software Engineering / Automation Testing
- 2–3 years specifically in AI/ML model testing
- Strong expertise in Python / Java and statistical analysis
- Deep understanding of AI/ML lifecycle and evaluation frameworks
- Experience with tools like LangSmith, Fiddler, InspectAI, OpenAI Evals
- Strong SQL skills and experience with large-scale or unstructured datasets / vector DBs
- Bachelor’s or Master’s in Data Science, Computer Science, Statistics, or related field
- Work on cutting-edge AI systems in real-world deployments
- Influence model governance, fairness, and performance standards
- Collaborate with high-impact engineering and AI teams
If you’re passionate about ensuring AI systems are accurate, fair, and production-ready, we’d love to hear from you.
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