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NielsenIQ

Global provider of consumer purchasing data

Principal ML Architect

Applied Machine LearningConfirmed live in the last 24 hours
Full-timePune, Maharashtra, IndiaNo salary listed

About the Job

Requirements

  • At least 10 years of professional experience in software development.
  • At least 5 years of experience leading teams and/or systems design.
  • A strong foundation in software engineering principles and architecture.
  • Proficiency in software architecture design and data pipelines.
  • Experience delivering cloud architectures, such as Azure, AWS, or GCP.
  • Experience working in Agile/Scrum environments.
  • Excellent written and verbal communication skills in English.

Responsibilities

  • Design scalable software systems with a focus on quality, performance, and maintainability.
  • Lead systems architecture decisions and ensure designs align with business requirements and technical standards.
  • Collaborate with Research Leads, Product Owners, and Tech Leads to gather requirements, design machine-learning pipelines, and coordinate software delivery and the MLOps maturity roadmap.
  • Create and maintain documentation for the initiatives the team participates in.
  • Participate in or lead design conversations with systems peers and other Architects/Principal Engineers for critical systems, which may be on-premises or in the cloud.
  • Work with stakeholders and the Data Science team to design monitoring pipeline strategies.

Desired Qualifications

  • Experience with Python and/or Machine Learning or Data Engineering projects.
  • Experience with data transformations using pandas, Spark, Arrow, or Databricks.
  • Experience with ADOIT or another architecture documentation tool.
  • A product-oriented mindset.
  • Experience with SAFe is a plus.

About the Company

NielsenIQ

Global provider of consumer purchasing data

NielsenIQ collects and analyzes consumer purchasing data to help retailers and brands understand market behavior. It tracks what people buy, when, and where, using this data to measure market share and purchasing trends across categories. The product works by aggregating point-of-sale and other consumer data, then turning it into actionable insights and benchmarks that clients can use to optimize pricing, assortment, promotions, and marketing. NielsenIQ differentiates itself through its long history (dating back to 1923) and a broad global footprint (operating in over 100 countries), plus its expanded capabilities after merging with GfK in 2023 to strengthen data on technology and durable goods. Its goal is to provide objective, data-driven guidance that helps retailers and brands make informed decisions and improve performance.

Company size
10,001+
Company stage
IPO
Headquarters
Chicago, IL
Founded
1923

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