Machine Learning Operation Analyst

Google Chrome Microsoft Edge Apple Safari Mozilla Firefox Machine Learning Operation AnalystFull-timeCareer Site Team: Data Science & Business IntelligenceCompany DescriptionNielsenIQ is a consumer intelligence company that delivers the Full View™, the world’s most complete and clear understanding of consumer buying behavior that reveals new pathways to growth. 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.Job DescriptionAre you passionate about bridging the gap between data science and production? We’re looking for a Senior MLOps Analyst to join our NiQ Tech & Durable Global Data Science team. You’ll be based in Kuala Lumpur (no travel required) and work closely with data scientists, engineers, and product teams to make sure our ML systems are running smoothly, scaling smartly, and always getting better. If you're into automation, monitoring, and making ML work in the real world, and if you enjoy learning and collaborating, this role is for you. What You’ll Do Monitor & Optimize ML Models: Build and maintain systems to track model performance and output quality. Automate & Scale: Simplify and automate workflows around data pipelines and model serving. Collaborate Cross-Functionally: Work with data scientists, engineers, analysts, and product teams in global cross-functional teams. Troubleshoot & Improve: Deep-dive into ML systems to identify issues, implement quick fixes, and propose long-term solutions. Champion Best Practices: Promote code quality, monitoring standards, and MLOps excellence across teams. Share & Grow: Contribute to internal Communities of Practice and take advantage of training, mentorship, and cross-functional projects. Tech Stack You’ll Work With Languages & Tools: Python, SQL, GitLab, MS Excel Monitoring & Visualization: Kibana, Grafana, OpenSearch, Looker Workflow & Deployment: Docker, Kubernetes, Airflow, Kubeflow Cloud Platform: GCP Automation: Power Automate QualificationsMust-Haves 4+ years of relevant work experience  Strong skills in SQL and Python Experience with monitoring tools (e.g. Kibana, Grafana, OpenSearch, Looker or similar) Familiarity with version control tools (GitLab, GitHub) Solid understanding of ML lifecycle and model performance metrics Undergraduate (BSc.) degree in computer science, mathematics, or some related field Excellent stakeholder management and communication skills to align technical solutions with business needs.  Ability to work independently and asynchronously as part of a distributed team Professional working proficiency in English Nice-to-Haves Experience with cloud platforms (AWS, GCP, Azure) Knowledge of containerization and orchestration (Docker, Kubernetes) Exposure to workflow orchestration tools (Airflow, Kubeflow) Prior experience in market research, pricing, revenue assurance, media consumption patterns is valuable but not mandatory Additional InformationBenefits:• Exciting work environment that brings people together.• Use the latest digital technologies.• Ongoing trainings to support your development.• Opportunities for personal and professional growth.• Hybrid workOur BenefitsFlexible working environmentVolunteer time offLinkedIn LearningEmployee-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...