Senior Engineer with Python, Agentic AI, Multi-cloud, MCP along with IAM, Cyber experience

NielsenIQ; Chennai; On-site; INR 3,000,000 - 5,500,000; Full time

Benefits offered by this job

Flexible working environment

Volunteer time off

LinkedIn Learning

Employee-Assistance-Program (EAP)

Job summary

NielsenIQ is seeking a Senior Engineer specializing in IAM and AI/ML to join our Chennai/Pune operations. You will shape the IAM architecture, build scalable ML pipelines, and drive MLOps practices across distributed cloud environments.

Role requires strong Python expertise, experience with PyTorch/TensorFlow, and collaboration with cybersecurity teams to integrate ML into enterprise IAM workflows. Global-scale delivery is expected.

Qualifications

• Bachelor’s degree in Cybersecurity, Computer Science, Computer Information Systems, Data Science, or a related field (Master’s preferred).
• 7+ years of software engineering experience, with 4+ years crafting AI/ML systems at global scale (Cybersecurity preferred).
• Strong proficiency in Python and ML frameworks (PyTorch, TensorFlow, scikit-learn).
• Experience deploying ML models in cloud environments and with MLOps practices.

Responsibilities

• Lead the design and evolution of the IAM technology stack with top-tier security practices.
• Develop AI/ML solutions to detect anomalies and automate identity security services (IAM, PAM, Secrets).
• Oversee end-to-end ML lifecycle: data ingestion, feature engineering, modeling, deployment, monitoring.
• Architect scalable ML pipelines using Python, cloud-native services, APIs, and IaC.
• Collaborate with Cybersecurity and engineering teams to integrate ML into IAM workflows.
• Apply security engineering principles to design and deploy secure software solutions.
• Develop real-time and batch inference services for identity analytics.
• Utilize advanced ML techniques for identity use cases and behavior analysis.
• Design model monitoring, drift detection, and KPI-driven evaluations.
• Leverage cloud platforms (Azure, AWS, GCP) for distributed training and serving.
• Advance MLOps with CI/CD, versioning, reproducibility, observability.
• Translate security problems into well-defined ML use cases for stakeholders.
• Communicate concepts clearly to technical and non-technical audiences.
• Mentor engineers and establish security engineering standards.

Skills

AI/ML engineering

Python

Cloud platforms

MLOps

Security principles

IAM concepts

Distributed systems

REST APIs

Git workflows

Education

Bachelor’s degree in Cybersecurity, Computer Science, CIS, DS or related field

Tools

PyTorch

TensorFlow

scikit-learn

REST APIs

Infrastructure-as-code

Cloud services (Azure/AWS/GCP)

Job description

Senior Engineer, IAM, Chennai/Pune

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 strong experience in architecting, designing, building, and operationalizing machine learning systems in complex, distributed, and cloud-based environments.

Responsibilities

• Lead 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.
• Lead the end-to-end ML lifecycle: data ingestion, feature engineering, model development, evaluation, deployment, monitoring, and continuous improvement.
• Architect 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.
• Develop 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.
• Design model monitoring, drift detection, and performance metrics aligned to security KPIs and business outcomes.
• Leverage cloud platforms (Azure, AWS, GCP) for distributed training, model serving, and data processing.
• Drive the adoption of MLOps best practices, including CI/CD for models, versioning, reproducibility, and observability.
• Collaborate with product owners and stakeholders to translate security problems into well-defined ML use cases.
• Communicate technical concepts, trade-offs, and results clearly to both technical and non-technical audiences.
• Mentor junior engineers and help establish Cybersecurity engineering standards for applied AI across the organization.

Qualifications

• Bachelor’s degree in Cybersecurity, Computer science, Computer Information Systems, Data Science, or a related field (Master’s preferred).
• 7+ years of software engineering experience, with 4+ years focused on architecting and designing AI/ML systems at global scale (Cybersecurity preferred).
• Strong proficiency in Python and experience building ML systems using modern frameworks (e.g., PyTorch, TensorFlow, scikit-learn).
• Hands-on experience with data pipelines, APIs, and distributed systems.
• Broad knowledge of IAM capabilities, identity stores, authentication/authorization, strong 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 with REST APIs, Git-based workflows, containerization, and infrastructure-as-code.
• Understanding of non-human identities, service accounts, secrets, and automation-driven access patterns is a strong plus.
• Ability to design solutions that balance accuracy, scalability, explainability, and operational reliability.
• Strong analytical thinking and problem-solving skills in ambiguous, real-world environments.
• Excellent verbal and written communication skills, with the ability to influence cross-functional teams.
• Proven ability to work independently while driving complex initiatives across large organizations.
• Ability to effectively prioritize and execute tasks in a fast-paced environment, balancing risk reduction with business objectives.
• Exceptional verbal and written communication skills, capable of translating complex technical concepts into clear, actionable insights for diverse stakeholders.
• Strong ability to work autonomously while influencing cross-functional teams and have proven track record of driving adoption of security best practices across large organizations.

Additional Information

Our Benefits

• 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/

About NIQ

NIQ is the world’s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights—delivered with advanced analytics through state-of-the-art platforms—NIQ delivers the Full View™. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world’s population.

Our commitment to Diversity, Equity, and Inclusion

At NIQ, we are steadfast in our commitment to fostering an inclusive workplace that mirrors the rich diversity of the communities and markets we serve. We believe that embracing a wide range of perspectives drives innovation and excellence. All employment decisions at NIQ are made without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, marital status, veteran status, or any other characteristic protected by applicable laws. We invite individuals who share our dedication to inclusivity and equity to join us in making a meaningful impact. To learn more about our ongoing efforts in diversity and inclusion, please visit https://nielseniq.com/global/en/news-center/diversity-inclusion.