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Senior Engineer, IAM with designing and architecturing AI/ML systems

Job Overview

To support this effort, we are seeking a Senior AI/ML Engineer with strong experience in architecting, designing, building, and operationalizing machine learning systems in complex, distributed, and cloud-based environments.

Key points

  1. NielsenIQ is looking for an individual who can join our Identity and Access Management (IAM) Program.

  2. We are evolving our enterprise Identity and Access ecosystem by embedding AI and machine learning to improve security posture, automation…

  3. In this role, you will lead the development of AI-driven identity, access, and security intelligence solutions, working closely with Cybersecurity, Engineering, and AI teams.

  4. You will be responsible for designing ML architectures, building production-grade pipelines, deploying models at scale…

  5. Bachelor’s degree in Cybersecurity, Computer science, Computer Information Systems, Data Science, or a related field (Master’s preferred).

  6. Strong proficiency in Python and experience building ML systems using modern frameworks (e.g., PyTorch, TensorFlow, scikit-learn).

  7. Hands-on experience with data pipelines, APIs, and distributed systems.

  8. Broad knowledge of IAM capabilities, identity stores, authentication/authorization, strong authentication, privileged access methodologies, and Zero Trust principles.

Skills

Machine LearningPythonAWSAzureGoogle CloudCI/CDMLOpsStakeholder Management

Experience: Senior-level · 7+ years · Job type: Full-time

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