We are seeking a Principal ML Engineer with over 8 years of professional experience in software development to work with us. The ideal candidate has a strong foundation in software engineering principles, software architecture design, and best practices, with solid knowledge of OOP fundamentals. As a Principal ML Engineer you will play a key role in designing, developing, and maintaining high-quality software solutions, establishing the technical direction for critical projects that run globally. 

This position is to work on Machine Learning related projects and some Agentic Pipelines. We are looking for someone with experience in Data Pipelines (ideally focused on ML workloads) and/or complex microservices architectures.  

Key Responsibilities  

• Design, scalable software solutions with a focus on quality, performance, and maintainability.  

• Lead software architecture decisions, ensuring the design aligns with business requirements and technical standards.  

• Collaborate with Research Leads 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. 

• Lead a team of experienced and junior developers to deliver the solutions assigned. 

• Perform code reviews, mentor other developers, and promote best practices in software development.  

• Be accountable for the tech debt of the systems supported. 

Requirements  

• 6+ years of professional experience in software development.  

• Proven experience leading ML based systems. 

• Strong foundation in software engineering principles and architecture.  

• Proficiency in design software architecture and data pipelines. 

• Familiarity with cloud services (e.g., *Azure, AWS, GCP).  

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

• Excellent communication skills in English, both written and verbal.  

• Knowledge of testing frameworks and test automation.  

Nice to Have  

• Experience with Python and/or Machine Learning projects (CV, NLP) 

• Experience with CI/CD pipelines (Github Actions) and DevOps practices.  

• Knowledge of testing frameworks and test automation.  

• Experience working in with data transformations (pandas, spark, arrow, databricks).  

What We Offer  

• Competitive salary based on experience and skills.  

• Flexible working hours and the possibility of remote work.  

• Opportunities for career growth and professional development.  

• Collaborative and inclusive work environment.  

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

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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