NielsenIQ: MLOps Tech Lead — Chennai, TN, India

NielsenIQ lists a MLOps Tech Lead opening in Chennai, TN, India. The position is listed as full-time. The job description covers machine learning.

Recruitment overview

OrganisationNielsenIQ
Post / roleMLOps Tech Lead
Employment typeFull-time
Notification / job IDR26_0023462|IN
Job locationChennai, TN, India
Work arrangementHybrid
Educational qualificationSee the employer’s role-specific qualification criteria
Experience required10+ years of professional experience in software development
Salary / stipendSee employer notice for pay details
Last date to applySee official notice

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 MLOps Tech Lead in Chennai, TN, India, under reference R26_0023462|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: 25 September 2026
  • Brands: NielsenIQ
  • Job Family: Machine Learning

Responsibilities and work described

  • We are seeking a Tech Lead / Engineering Manager with over 10 years of professional experience in software development to work with ML Ops Projects
  • The ideal candidate has a foundation in software engineering principles, software architecture design, and best practices, with knowledge of OOP fundamentals
  • As a MLOps Tech Lead you will play a key role in designing, developing, and maintaining high-quality software solutions, leading the team in charge of the MLOps delivery for critical projects that run globally
  • This position is to work on Machine Learning related projects
  • Someone with experience in Data Pipelines (ideally focused on ML workloads) and/or complex microservices architectures
  • Design, scalable software solutions with a focus on quality, performance, and maintainability
  • Leadership: software architecture decisions, ensuring the design aligns with business requirements and technical standards
  • Collaboration: with Research Leads, Architects and Product Owners to gather requirements, design MLOps pipelines and coordinate the software delivery that adds value to the business
  • Create and maintain documentation for the initiatives the team is participating in
  • Leadership: a team of experienced and junior developers to deliver the solutions assigned
  • Execution: code reviews, mentor other developers, and promote best practices in software development
  • Be accountable for the tech debt of the systems supported

Essential requirements and candidate background

  • 10+ years of professional experience in software development
  • 5+ years of experience leading teams and projects
  • Foundation in software engineering principles and architecture
  • Proficiency: design software architecture and data pipelines
  • Familiarity: cloud services (e.g., *Azure, AWS, GCP)
  • Communication skills in English, both written and verbal
  • Experience: Python and/or Machine Learning projects
  • Experience: CI/CD pipelines (Github Actions) and DevOps practices
  • Knowledge: testing frameworks and test automation
  • Experience working in with data transformations (pandas, spark, arrow, databricks)

Preferred experience and additional strengths

  • Experience working in Agile/Scrum environments. (SAFE is a plus)

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 MLOps Tech Lead vacancy is not an offer for reference R26_0023462|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_0023462|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
  • Spark
  • CI/CD
  • AWS
  • GCP
  • Azure
  • AI/ML
  • machine learning
  • Google Cloud

Important links

Official notification / job descriptionOpen official page
Online application portalOpen official page

Read the complete official notice before applying. Availability and requirements can change.

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