NielsenIQ: Senior Engineer, IAM with designing and architecturing AI/ML systems — Chennai, TN, India

About NielsenIQ

NielsenIQ, also known as NIQ, works in consumer intelligence and retail measurement. Its employer material describes using market information, consumer insights and analytics to help businesses understand buying behaviour. Its data operations address the accuracy and completeness of information behind client reports, while analytical services interpret that information. The business connects details about products and retail activity with broader views of markets, giving organisations evidence for understanding demand and making commercial decisions.

The position and its setting

NielsenIQ lists Senior Engineer, IAM with designing and architecturing AI/ML systems in Chennai, TN, India, under reference R26_0023714|IN. The details below separate the work described by the employer from essential conditions, preferred experience and practical preparation advice.

• Employment type: Full-time
• Employer listing date: 13 October 2026
• Brands: NielsenIQ
• Job Family: Cyber Security

Responsibilities and work described

• Senior Engineer, IAM, Chennai
• NielsenIQ is looking for an individual who can join our Identity and Access Management (IAM) Program
• We are evolving our enterprise Identity and Access ecosystem by embedding AI and machine learning to improve security posture, automation, and user experience at scale
• To support this effort, we are seeking a Senior AI/ML Engineer with experience in architecting, designing, building, and operationalizing machine learning systems in complex, distributed, and cloud-based environments
• 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
• Be responsible for designing ML architectures, building production-grade pipelines, deploying models at scale, and driving measurable outcomes through applied AI for supporting out Identity Security initiative
• This is a hands-on Senior Engineering role with significant technical ownership and architectural influence
• The ideal candidate is a self-driven problem solver who enjoys working at the intersection of AI/ML, Cybersecurity, Cloud platforms, and automation, and who wants to be part of growing NIQ global IAM program
• Leadership: the design and evolution of the IAM technology stack, ensuring adherence to top-tier security practices across architecture, implementation, monitoring, maintenance, and enhancements
• Design, build, and evolve AI/ML solutions that analyze identity, access, and behavioral data to detect anomalies, reduce risk, and automate identity security services to enforce IAM, PAM and Secrets Management controls
• Leadership: the end-to-end ML lifecycle: data ingestion, feature engineering, model development, evaluation, deployment, monitoring, and continuous improvement
• Architecture: and implement scalable ML pipelines using Python, cloud-native services, APIs, and infrastructure-as-code
• Partner with Cybersecurity and other Engineering teams to integrate ML models into enterprise IAM, PAM, and Secrets Management workflows and drive roadmap decisions and enterprise-scale adoption and enforcement
• Apply advanced security engineering principles to analyze, design, develop, deploy, and support complex software solutions and infrastructure upgrades, setting standards for best practices
• Development: and deploy real-time and batch inference services for identity and access pattern recognition
• Apply advanced ML techniques (anomaly detection, clustering, classification, graph-based models, etc.,) to human and non-human identity use cases

Essential requirements and candidate background

• Proficiency: Python and experience building ML systems using modern frameworks (e.g., PyTorch, TensorFlow, scikit-learn)
• Experience: data pipelines, APIs, and distributed systems
• Broad knowledge of IAM capabilities, identity stores, authentication/authorization, authentication, privileged access methodologies, and Zero Trust principles
• Experience deploying and operating ML models in cloud environments (Azure, AWS, GCP)
• Practical knowledge of MLOps practices, including model versioning, CI/CD, monitoring, and automation
• Experience working with identity, security, or behavioral data (IAM, access logs, telemetry, or similar domains)
• Familiarity: REST APIs, Git-based workflows, containerization, and infrastructure-as-code
• Understanding: non-human identities, service accounts, secrets, and automation-driven access patterns is a plus
• Design solutions that balance accuracy, scalability, explainability, and operational reliability
• Analytical thinking and problem-solving skills in ambiguous, real-world environments
• Verbal and written communication skills, with the ability to influence cross-functional teams
• Ability to work independently while driving complex initiatives across large organizations
• Effectively prioritize and execute tasks in a fast-paced environment, balancing risk reduction with business objectives
• Verbal and written communication skills, capable of translating complex technical concepts into clear, actionable insights for diverse stakeholders
• Ability to work autonomously while influencing cross-functional teams and have track record of driving adoption of security best practices across large organizations

Education and qualification routes

• Degree / qualification: Bachelor’s degree in Cybersecurity, Computer science, Computer Information Systems, Data Science, or a related field (Master’s preferred)

Experience and professional background

• 7+ years of software engineering experience, with 4+ years focused on architecting and designing AI/ML systems at global scale (Cybersecurity preferred)

Location, schedule and contract conditions

• Work arrangement: Hybrid
• Advertised location: Chennai, TN, India

Benefits mentioned by the employer

• Flexible working environment
• Volunteer time off
• LinkedIn Learning
• Employee-Assistance-Program (EAP)
• NIQ may utilize artificial intelligence (AI) tools at various stages of the recruitment process, including résumé screening, candidate assessments, interview scheduling, job matching, communication support, and certain administrative tasks that help streamline workflows
• These tools are intended to improve efficiency and support fair and consistent evaluation based on job-related criteria
• All use of AI is governed by NIQ’s principles of fairness, transparency, human oversight, and inclusion
• Final hiring decisions are made exclusively by humans
• NIQ regularly reviews its AI tools to help mitigate bias and ensure compliance with applicable laws and regulations
• If you have questions, require accommodations, or wish to request human review were permitted by law, please contact your local HR representative
• For more information, please visit NIQ’s AI Safety Policies and Guiding Principles: https://nielseniq.com/global/en/info/niqs-ai-safety-policies/

Pay and application dates

A verified salary figure is not established in this article. An online estimate for another Senior Engineer, IAM with designing and architecturing AI/ML systems vacancy is not an offer for reference R26_0023714|IN; use the employer’s own pay disclosure and recruitment communication.

A closing date is not confirmed in this article. Check the current employer page before submitting: an undated posting can change or be withdrawn.

How to apply to NielsenIQ

Applications follow the official employer page linked below.

Open the official NielsenIQ posting below and match the title and reference R26_0023714|IN.

Compare your qualifications and experience with the essential conditions for the Chennai, TN, India position, then read the preferred criteria separately.

Prepare an accurate CV and the supporting items requested in that employer’s application. Provide only information and documents you are authorised to share.

Use the employer’s application option, complete the required fields and review the submission. Retain the acknowledgement when one is provided. Job Alerts World does not receive the application.

Practical preparation: Python

Python work is easier to assess through a concrete example than a list of libraries. Explain the problem, the input data, the parts you implemented and how you checked the output. Include a repository or a short technical note when you can share it.

Relevant skills

• Python
• CI/CD
• AWS
• GCP
• Azure
• REST APIs
• APIs
• AI/ML
• Google Cloud
• machine learning
• AI
• cybersecurity
• Git