Job Description

about the company
Our client is a recognized pioneer in the governance and reliability of cognitive computing. They aim to define the global benchmarks for machine learning validation, ensuring that next-generation autonomous systems operate within secure, ethical, and transparent boundaries. Ensuring critical infrastructure needed to turn experimental AI into dependable enterprise solutions.
about the role
Looking for a specialist to engineer the methodologies required to rigorously validate and audit complex adaptive models within commercial environments. You will be responsible for defining the boundaries of how self-learning systems behave under pressure.
Architect and implement assessment protocols to quantify the reliability and goal-alignment of autonomous software agents.
Develop sophisticated statistical toolsets to measure predictive volatility and establish confidence intervals for model outputs.
Build resilient diagnostic pipelines and testing environments...

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