1 to 2 of 2 Contract Data Pipeline Jobs in Berkshire

ML systems, CI/CD and data pipelines. Participate in enterprise-wide architecture initiatives for AI/ML. Understand the workflow and pipeline architectures of ML and deep learning workloads. Conduct security risk assessments and threat modeling for AI/ML and other business projects performed thorough … test specification, development, and execution. Define and enforce robust access controls, authentication mechanisms, and encryption standards to safeguard AI/ML systems, training data, provenance, and any sensitive data. Stay abreast of emerging AI security threats, trends, and technologies, evaluating their impact and proactively adapting security measures to … tools, technologies, and frameworks to enhance the overall security posture of AI/ML and other business systems. Develop and maintain relationships between data scientists, data engineers, developers, operations (DevOps, DataOps, MLOps) and business unit leaders to govern and support scalability of the ML and AI more »

ML systems, CI/CD and data pipelines. Participate in enterprise-wide architecture initiatives for AI/ML. Understand the workflow and pipeline architectures of ML and deep learning workloads. Conduct security risk assessments and threat modeling for AI/ML and other business projects performed thorough … models, LLM and development of trustworthiness, safety, fairness, bias and inappropriateness detection, as well as adversarial test specification, development, and execution. Collaborate with data scientists, engineers, and other stakeholders to embed security controls and measures into AI/ML applications, models, algorithms, and data pipelines. Define … and enforce robust access controls, authentication mechanisms, and encryption standards to safeguard AI/ML systems, training data, provenance, and any sensitive data. Stay abreast of emerging AI security threats, trends, and technologies, evaluating their impact and proactively adapting security measures to mitigate potential risks. Provide technical guidance more »