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Senior ML Engineer

Company Description

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 Description

NIQ is seeking a highly skilled and experienced Senior ML Engineer to join our dynamic team. As a Senior ML Engineer at NIQ, you will play a crucial role in developing and implementing advanced AI/GenAI models and algorithms to solve complex business problems. You will collaborate closely with cross-functional teams to design, build, and deploy scalable AI/GenAI solutions. 

Responsibilities: 

  • Develop and implement AI/GenAI models and algorithms using Python. programming language, jointly with knowledge about PyTorch/Tensorflow, Pandas, sklearn and similar AI/GenAI libraries. 
  • Utilize ML fundamentals to solve real-world problems. This inclused deep learning, optimization techniques, Natural Language Processing (NLP), Large Language Models (LLMs), or Retrieval Augmented Generation (RAG). 
  • Work closely with data scientists and engineers to gather requirements, perform data analysis, and develop end-to-end ML pipelines. 
  • Conduct experiments and perform model evaluation to ensure the robustness, scalability, and accuracy of AI/GenAI solutions. 
  • Optimize and fine-tune AI/GenAI models for performance and efficiency. 
  • Collaborate with cloud computing teams to deploy AI/GenAI models on cloud platforms, preferably Azure. 
  • Utilize SQL for data Extraction, Transformation, and Loading (ETL) processes. 
  • Stay updated with the latest advancements in AI/GenAI. 

Qualifications

Qualifications: 

  • Bachelor's degree or higher in Computer Science, Engineering, Mathematics, or related field. 
  • Proven experience 5 years working as a Senior ML Engineer or similar role. 
  • Strong proficiency in Python programming language. 
  • In-depth knowledge of ML fundamentals, including deep learning, optimization techniques, generative AI, NLP, LLMs and RAG. 
  • Experience with cloud computing platforms (knowledge of Azure is a plus). 
  • Familiarity with SQL for data manipulation and analysis. 
  • Excellent problem-solving skills and attention to detail. 
  • Strong communication and collaboration skills. 
  • Ability to thrive in a fast-paced, dynamic environment. 

Additional Information

Why Join Us: 

  • Opportunity to work on cutting-edge projects at the forefront of technology. 
  • Collaborative and innovative work environment. 
  • Competitive salary and benefits package. 
  • Continuous learning and professional development opportunities. 

If you are passionate about AI/GenAI and are looking to make a significant impact in a forward-thinking company, we encourage you to apply for this exciting opportunity! 

Our Benefits

  • Flexible working environment
  • Volunteer time off
  • LinkedIn Learning
  • Employee-Assistance-Program (EAP)

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

Want to keep up with our latest updates?

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Our commitment to Diversity, Equity, and Inclusion

NIQ is committed to reflecting the diversity of the clients, communities, and markets we measure within our own workforce. We exist to count everyone and are on a mission to systematically embed inclusion and diversity into all aspects of our workforce, measurement, and products. We enthusiastically invite candidates who share that mission to join us. We are proud to be an Equal Opportunity/Affirmative Action-Employer, making decisions without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability status, age, marital status, protected veteran status or any other protected class. Our global non-discrimination policy covers these protected classes in every market in which we do business worldwide. Learn more about how we are driving diversity and inclusion in everything we do by visiting the NIQ News Center: https://nielseniq.com/global/en/news-center/diversity-inclusion

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What You Should Know About Senior ML Engineer, NielsenIQ

Are you a passionate Senior ML Engineer looking to make waves in the world of AI and consumer insights? Look no further! Join NIQ, the leading consumer intelligence company, right here in remote Chennai, TN. At NIQ, we pride ourselves on our ability to deliver comprehensive understanding of consumer behaviors, and as a Senior ML Engineer, you’ll be at the heart of this mission. Your role will involve developing and implementing cutting-edge AI and GenAI models to tackle intricate business challenges. Collaborating with brilliant cross-functional teams, you’ll harness tools like Python, PyTorch, and TensorFlow, diving deep into machine learning fundamentals including deep learning, Natural Language Processing (NLP), and Large Language Models (LLMs). You'll also have the chance to optimize and fine-tune models, ensuring they perform seamlessly across cloud platforms like Azure. We support your growth with a collaborative environment, ensuring you stay ahead in a rapidly evolving field. If you are ready to take your skills to new heights and drive impactful changes utilizing AI/GenAI, NIQ is the perfect place for you! Our commitment to diversity and inclusion means we welcome talented individuals from all backgrounds to join our forward-thinking team. Let’s innovate together in a flexible, dynamic workplace that truly values your contributions.

Frequently Asked Questions (FAQs) for Senior ML Engineer Role at NielsenIQ
What are the main responsibilities of a Senior ML Engineer at NIQ?

As a Senior ML Engineer at NIQ, your main responsibilities include developing and implementing advanced AI and GenAI models and algorithms. You will work closely with cross-functional teams to gather requirements, perform data analysis, and create scalable solutions. Additionally, optimizing and fine-tuning models for performance is a crucial aspect of your role.

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What qualifications are needed to apply for the Senior ML Engineer position at NIQ?

To apply for the Senior ML Engineer position at NIQ, candidates should have a Bachelor's degree or higher in Computer Science or a related field. Furthermore, significant experience in the role (preferably around 5 years) along with strong proficiency in Python and an understanding of ML fundamentals such as deep learning, NLP, and cloud computing platforms like Azure are essential.

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How does NIQ support continuous learning for Senior ML Engineers?

At NIQ, we believe in the importance of continuous learning. We offer professional development opportunities, access to resources for learning new techniques and technologies, and a culture that encourages innovation. Additionally, you can engage in platforms like LinkedIn Learning to further enhance your skills.

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What technologies should a Senior ML Engineer at NIQ be familiar with?

A Senior ML Engineer at NIQ should be well-versed in Python and familiar with libraries such as PyTorch, TensorFlow, and Pandas. Knowledge of SQL for ETL processes and cloud computing platforms, particularly Azure, is also beneficial, as these technologies are integral to developing and deploying scalable AI solutions.

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What is NIQ's approach to diversity and inclusion in hiring Senior ML Engineers?

NIQ is committed to reflecting the diversity of the markets we serve. We promote an inclusive workplace that welcomes candidates from all backgrounds, thereby enhancing our creativity and innovation. When hiring Senior ML Engineers, we emphasize equal opportunity and seek to include diverse perspectives in our team.

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Common Interview Questions for Senior ML Engineer
Can you explain your experience with AI and GenAI technologies?

When answering this question, detail your hands-on experience with AI/GenAI. Discuss specific projects you've undertaken, the models you've developed, and techniques employed. Mention your working familiarity with popular frameworks like TensorFlow and PyTorch to emphasize your technical expertise.

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What machine learning techniques are most effective for large datasets?

Focus on discussing techniques such as distributed computing and online learning, which can handle large datasets efficiently. Highlight how methods like deep learning can leverage vast amounts of data, enhancing model accuracy, while mentioning scalability considerations to reflect a comprehensive understanding.

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How do you approach collaborative projects with cross-functional teams?

Describe your strategy for collaboration, including regular communication and scheduling meetings to align on project goals. Stress your flexibility in adapting to team members’ expertise and how you gather requirements efficiently.

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What methods do you use to evaluate the performance of machine learning models?

Share your process for model evaluation, discussing metrics such as accuracy, precision, recall, and F1-score. Explain how you use techniques like cross-validation and holdout validation to ensure that models are robust and generalize well to unseen data.

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Can you give an example of a challenging problem you solved using machine learning?

Provide a specific scenario where you identified a business problem and implemented an ML solution. Discuss the approach you took, models used, and the successful outcome that had a tangible impact on the company.

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How do you stay updated with the latest advancements in AI?

Convey your commitment to continuous learning by mentioning resources such as academic journals, webinars, and tech blogs. Highlight any professional networks or communities you are part of that facilitate knowledge sharing in AI.

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What is your experience with deploying machine learning models in production?

Discuss your familiarity with the deployment process, including using platforms like Azure for hosting models. Mention any past projects where you had to ensure that models were integrated into existing systems and monitored for performance.

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What role does data preprocessing play in building machine learning models?

Explain the significance of data preprocessing in ensuring data quality and how it affects model performance. Talk about techniques you employ to clean, transform, and prepare data for training models effectively.

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How would you handle a situation where a model's performance is not meeting expectations?

Talk through a systematic approach to identifying potential issues, which may involve reviewing data quality, feature selection, and tuning hyperparameters. Emphasize your analytical skills in troubleshooting and iterating on the model for improvement.

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What are your favorite tools and frameworks for machine learning projects?

Share the tools you prefer, perhaps mentioning Python libraries like Scikit-learn, and explaining why you find them effective. Discuss any experience you have with visualization tools for presenting data and model results.

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DATE POSTED
January 4, 2025

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