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.
For more information, visit NIQ.com
Job DescriptionAbout the role:
We are looking for a senior AI engineer 56 years of experience) to help us automate and improve our web scraping operations using AI. We mainly aim to reduce manual effort and improve efficiency across our scraping team, by building intelligent systems that can:
Extract data more autonomously.
Detect issues before they affect production.
Automatically adapt to website changes.
Improve code/data QA.
Reduce development and maintenance time.
Responsibilities:
Design, build, and deploy AI-powered automation and LLM-based workflows (chatbots, copilots) for real-world scraping issues to detect scraping failures and anomalies and identify data issues,
Fine-tune, evaluate and optimize AI models for performance and scalability.
Implement smart alerting systems to reduce noise and focus on real issues
Build AI-assisted tools to debug scraping issues and recommend fixes or generate updated logic to reduce manual maintenance effort for scraping pipelines
Collaborate with scraping team to translate scraping/business requirements into AI-driven solutions. Continuously monitor and improve performance, reliability, and cost efficiency of AI solutions in production environments.
Maintain documentation, testing procedures, and deployment workflows.
Requirements:
5- 6+ years of experience in AI/ML engineering or similar roles
Strong Python skills
Strong problem-solving skills to address complex challenges and performance bottlenecks.
Advanced knowledge in Machine Learning models and Large Language Models LLM, using Langchain or a similar tool.
Experience in implementing LLMs using vector databases and Retrieval Augmented Generation RAG, as well as tuning models. Using GPTs, Llama, or any other LLM
Experience building production-ready systems, not just prototypes and providing support to them.
Hands-on experience with containerization Docker, ideally Kubernetes) and CI/CD workflows.
Experience in developing and using APIs can be useful for integrating models into existing applications. Experience with cloud environments GCP, Azure or AWS
Familiarity with web scraping tools Scrapy, Playwright, Selenium) and data pipelines and distributed systems is a strong plus as well as understanding of security best practices for extracting data..
Excellent technical communication skills to collaborate effectively across teams and explain technical concepts to non-technical stakeholders
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.
For more information, visit NIQ.com
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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 https://nielseniq.com/global/en/news-center/diversity-inclusion
Skills Required
- 5–6+ years of experience in AI/ML engineering or similar roles
- Strong Python skills
- Strong problem-solving skills addressing complex challenges and performance bottlenecks
- Advanced knowledge of machine learning models and large language models
- Experience with LangChain or a similar tool
- Experience implementing LLMs with vector databases and Retrieval-Augmented Generation
- Experience tuning AI/ML models
- Experience using GPT, Llama, or other LLMs
- Experience building and supporting production-ready systems
- Hands-on experience with Docker and ideally Kubernetes
- Experience with CI/CD workflows
- Experience developing and using APIs
- Experience with GCP, Azure, or AWS
- Familiarity with Scrapy, Playwright, or Selenium
- Familiarity with data pipelines and distributed systems
- Understanding of security best practices for data extraction
- Excellent technical communication skills
NielsenIQ Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NielsenIQ and has not been reviewed or approved by NielsenIQ.
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Parental & Family Support — Public materials highlight paid parental leave in the U.S., with additional paid disability time for birth parents. Parental leave is positioned as a standout element of the package.
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Leave & Time Off Breadth — Unlimited or flexible PTO is referenced alongside paid holidays and sick leave, providing broad time-off options in many roles. Actual use can vary by team norms, but the formal breadth is notable.
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Flexible Benefits — Work-from-home and hybrid arrangements are supported in many roles, with remote-friendly practices described across business lines. Flexibility is frequently positioned as a meaningful advantage.
NielsenIQ Insights
What We Do
NielsenIQ is the industry leader in global measurement and data analytics, and the most trusted source for retail and consumer intelligence. We deliver the complete truth to retailers, manufacturers, and our partners through our comprehensive data sets and powerful insights. We enable businesses to make critical decisions confidently, accelerating growth and optimizing performance.
Why Work With Us
We empower companies around the world to make bold decisions and transform their business with trusted data, solutions, and insights. Joining NielsenIQ means experiencing countless learning opportunities and gaining numerous pathways for growth.
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