Key Responsibilities:
• Model Development: Design, develop, and fine-tune Machine Learning Models
• Generative AI: Implement Generative AI use cases using frameworks like LangChain, AutoGen, CrewAI etc
• Research: Conduct research to advance the state-of-the-art in generative AI, including exploring new algorithms, techniques, and tools.
• Collaboration: Work along with Seniors and Stake holders to capture the requirements and execute it in Agile methodology.
• Documentation: Maintain comprehensive documentation of models, experiments, and findings to facilitate knowledge sharing and reproducibility.
• Stay Updated: Keep abreast of the latest developments in the field of AI and machine learning and apply this knowledge to current projects.
Must Have:
1. Proficiency in Python Programming Language
2. Experience in Developing Machine Learning models using Sklearn/PyTorch/TensorFlow
3. Experience with Natural Language Processing (NLP) libraries and tools such as Spark NLP, Hugging Face, NLTK etc.
4. Experience in any GenAI framework such as LangChain, AutoGen or CrewAI etc
5. Experience in Github and CI/CD pipelines to deploy the Machine Learning Models
Good to Have:
1. Experience in MLOps Tools like MLflow, AutoML etc
2. Experience in Azure Cloud
3. Experience in working Agile Model.
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
- Proficiency in Python
- Experience developing machine learning models using scikit-learn, PyTorch, or TensorFlow
- Experience with NLP libraries such as Spark NLP, Hugging Face, NLTK
- Experience with generative AI frameworks (LangChain, AutoGen, CrewAI)
- Experience with GitHub and CI/CD pipelines for model deployment
- Experience with MLOps tools like MLflow or AutoML
- Experience with Azure Cloud
- Experience working in an Agile model
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.
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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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