NielsenIQ: Principal ML Architect — Pune, MH, 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 Principal ML Architect in Pune, MH, India, under reference R26_0021684|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: 23 September 2026
• Brands: NielsenIQ
• Job Family: Machine Learning

Responsibilities and work described

• Position Type: Full-Time
• We are seeking an ML Architect with over +10 years of professional experience in software design and development
• The ideal candidate has a foundation in software engineering principles, software architecture design, and best practices, with experience in Cloud Data pipelines (Ideally in the ML context)
• This position is to work on Machine Learning related projects
• Someone with experience in Cloud Data Pipelines (ideally focused on ML workloads) and / or AI/ML systems
• Design: scalable software systems with a focus on quality, performance, and maintainability
• Leadership: systems architecture decisions, ensuring the design aligns with business requirements and technical standards
• Collaboration: with Research Leads and Product Owners and Tech Leads to gather requirements, design ML pipelines and coordinate the software delivery and MLOps maturity roadmap
• Create and maintain documentation for the different initiatives the team is participating in
• Participate or lead in design conversations among systems and other Architects/Principal Engineers for critical systems that can be on premise or Cloud
• Work: with stakeholders and Data Science team to design monitoring pipelines strategies

Essential requirements and candidate background

• 10+ years of professional experience in software development
• 5+ years of experience leading teams and/or systems design
• Foundation in software engineering principles and architecture
• Proficiency: design software architecture and data pipelines
• Experience on the delivery of cloud architectures (e.g., *Azure, AWS, GCP)
• Communication skills in English, both written and verbal

Preferred experience and additional strengths

• Experience working in Agile/Scrum environments. (SAFE is a plus)
• Experience: Python and/or Machine Learning / Data Engineering projects
• Experience working with data transformations (pandas, spark, arrow, Databricks)
• ADOIT or other Architecture documentation tool experience
• Product Oriented mindset

Location, schedule and contract conditions

• Flexible working hours and the possibility of remote work
• Work arrangement: On-site
• Advertised location: Pune, MH, 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/

Conditions requiring the complete notice

Some passages contain complex or combined conditions that have not been reduced to short eligibility statements here. Read the complete linked notice for those passages, including any alternatives, exceptions or restrictions. The concise facts above should not be treated as the full wording of every condition.

Pay and application dates

A verified salary figure is not established in this article. An online estimate for another Principal ML Architect vacancy is not an offer for reference R26_0021684|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_0021684|IN.

Compare your qualifications and experience with the essential conditions for the Pune, MH, 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
• Spark
• AWS
• GCP
• Azure
• AI/ML
• machine learning
• AI
• stakeholder management
• Google Cloud
• communication