Senior AIML Engineer for Cybersecurity

Senior AI/ML Engineer for Cybersecurity Pune/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 strong 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. You will 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. 

What you will do: 

• 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 :

• Bachelors degree in Cybersecurity Computer science Computer Information Systems Data Science or a related field (Masters preferred). 
• 8 years of software engineering experience with 5 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 :

• Enjoy a flexible and rewarding work environment with peer-to-peer recognition platforms. 
• Recharge and revitalize with help of wellness plans made for you and your family. 
• Plan your future with financial wellness tools. 
• Stay relevant and upskill yourself with career development opportunities

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 NIQs 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 NIQs AI Safety Policies and Guiding Principles: Benefits

• Flexible working environment
• Volunteer time off
• LinkedIn Learning
• Employee-Assistance-Program (EAP)

About NIQ

NIQ is the worlds leading consumer intelligence company delivering the most complete understanding of consumer buying behavior and revealing new pathways to 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 insightsdelivered with advanced analytics through state-of-the-art platformsNIQ delivers the Full View. NIQ is an Advent International portfolio company with operations in 100 markets covering more than 90% of the worlds population.

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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 the  Work :

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Employment Type :

Full-time