Job Summary
The position involves the design and scalability of machine learning training data pipelines, as well as the optimization of models geared towards intelligent Identity and Access Management (IAM). This role emphasizes access-risk scoring and anomaly detection, working in collaboration with security engineers to pinpoint edge cases and set evaluation standards to guarantee model dependability.
Responsibilities
- Design and scale ML training data pipelines for IAM solutions.
- Optimize models focused on access-risk scoring and the detection of anomalies.
- Collaborate with security engineers to identify edge cases in model functionality.
- Establish evaluation benchmarks to verify the reliability of models.
Qualifications
- Minimum of 8 years of software development experience.
- At least 5 years specifically in the design and optimization of machine learning applications.
- A bachelor’s degree in a relevant field is mandatory; a master’s degree or PhD is preferred.
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