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Since 1923, NIQ has moved measurement forward for industries and economies across the globe. We are putting the brightest and most dedicated minds together to accelerate progress. By embracing our diversity, we inspire each other to excel and create a lasting impact through our work and the people we collaborate with. NielsenIQ offers a range of products and services that leverage Machine Learning and Artificial Intelligence to provide insights into consumer behavior and market trends. This position opens the opportunity to apply the latest state of the art in AI/ML and data science to global and key strategic projects.\n As a Senior Machine Learning Engineer, you’ll play a key role in turning innovative ML research into scalable, real-world solutions that power global decision-making. At NiQ, we’re looking for someone to join our Tech & Durable Global Data Science team, working at the intersection of data science and engineering to transform cutting-edge research into robust, production-ready systems.\nIf you're excited by cloud technologies, MLOps, and solving complex problems with smart, data-driven approaches, and you thrive in a collaborative, learning-focused environment, this role is for you.\nWhat You’ll Do\nBuild & Scale ML Systems: Design, develop, test, deploy, and maintain machine learning solutions using software engineering best practices.\n\nProductionize Prototypes: Transform data science models into scalable, production-ready systems for real-world applications.\n\nOwn the ML Lifecycle: Implement and manage end-to-end ML workflows using MLOps practices in both cloud and on-prem environments.\n\nCollaborate Globally: Partner with data scientists, software engineers, and product experts in cross-functional, international teams.\n\nDrive Engineering Excellence: Develop and refine tools, methods, and best practices to elevate ML engineering standards.\n\nMentor, Share & Grow: Support team development through mentoring, contribute to internal Communities of Practice, and engage in training and cross-functional learning opportunities.\n\nShape the Future of ML: Influence the direction of ML engineering at NIQ by contributing to strategic initiatives and technical roadmaps.\n\nTech Stack You’ll Work With\nLanguages & Frameworks: Python, SQL, Argo, Kubeflow, MLflow\n\nCI/CD Tools: GitLab CI\n\nMonitoring: Prometheus, Grafana\n\nContainers & Orchestration: Docker, Kubernetes\n\nDatabases: PostgreSQL, BigQuery, RDBMS\n\n Must-Haves\nDegree in computer science, engineering, statistics, or a related field (BSc, MSc, or PhD).\n\n4+ years of experience in machine learning software development.\n\nStrong Python skills and experience with ML libraries and frameworks.\n\nSolid experience working in large-scale database environments.\n\nKnowledge of containerization and orchestration (Docker, Kubernetes).\n\nSolid experience with production-level code quality and collaboration with software/testing engineers.\n\nSolid understanding of statistical methods and machine learning algorithms\n\nExcellent stakeholder management and communication skills to align technical solutions with business needs.\n\nAbility to work independently and asynchronously as part of a distributed team\n\nProfessional working proficiency in English\n\nNice-to-Haves\nExperience with cloud environments (AWS, GCP)\n\nFamiliarity with MLflow or similar ML lifecycle tools.\n\nExperience with agile development practices.\n\nBackground in forecasting, pricing, revenue assurance, or media analytics is a plus.\n\n Benefits:\nExciting work environment that brings people together.\nUse the latest digital technologies.\nOngoing trainings to support your development.\nOpportunities for personal and professional growth.\nHybrid work\nOur Benefits\nFlexible working environment\nVolunteer time off\nLinkedIn Learning\nEmployee-Assistance-Program (EAP)\nNIQ 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/\nAbout NIQ\nNIQ 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.\nFor more information, visit NIQ.com\nWant to keep up with our latest updates?\nFollow us on: LinkedIn | Instagram | Twitter | Facebook\nOur commitment to Diversity, Equity, and Inclusion\nAt 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. 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