{"id":72452,"url":"https://alion.io/job/niq-machine-learning-operation-analyst","title":"Machine Learning Operation Analyst","company":{"id":9378,"name":"NielsenIQ","domain":"nielseniq.com","url":"https://alion.io/company/nielseniq","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"SmartRecruiters","truth_index":{"grade":"B","score":80,"open_postings":15,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":14,"computed_at":"2026-10-19T05:45:15Z"}},"role":"Analytics","role_family":"Analytics","seniority":"senior","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Kuala Lumpur, Malaysia"],"countries":["MY"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":12000,"max_usd":28000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":2897},"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Docker","optional":false},{"name":"GCP","optional":false},{"name":"GitHub","optional":false},{"name":"GitLab","optional":false},{"name":"Grafana","optional":false},{"name":"Kibana","optional":false},{"name":"Kubeflow","optional":false},{"name":"Kubernetes","optional":false},{"name":"Looker","optional":false},{"name":"Machine Learning","optional":false},{"name":"OpenSearch","optional":false},{"name":"AWS","optional":true},{"name":"Azure","optional":true},{"name":"Microsoft Excel","optional":true},{"name":"Power Automate","optional":true},{"name":"Python","optional":true},{"name":"SQL","optional":true}],"status":"live","first_seen_at":"2026-07-14T10:01:27Z","employer_posted_date":"2026-07-14","last_verified_at":"2026-10-19T14:46:21Z","board_verified":true,"closed_at":null,"days_open":97,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":96},"description":"NielsenIQ 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.\n Are 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.\nWhat You’ll Do\nMonitor & Optimize ML Models: Build and maintain systems to track model performance and output quality.\n\nAutomate & Scale: Simplify and automate workflows around data pipelines and model serving.\n\nCollaborate Cross-Functionally: Work with data scientists, engineers, analysts, and product teams in global cross-functional teams.\n\nTroubleshoot & Improve: Deep-dive into ML systems to identify issues, implement quick fixes, and propose long-term solutions.\n\nChampion Best Practices: Promote code quality, monitoring standards, and MLOps excellence across teams.\n\nShare & Grow: Contribute to internal Communities of Practice and take advantage of training, mentorship, and cross-functional projects.\n\nTech Stack You’ll Work With\nLanguages & Tools: Python, SQL, GitLab, MS Excel\n\nMonitoring & Visualization: Kibana, Grafana, OpenSearch, Looker\n\nWorkflow & Deployment: Docker, Kubernetes, Airflow, Kubeflow\n\nCloud Platform: GCP\n\nAutomation: Power Automate\n\n Must-Haves\n4+ years of relevant work experience\n\nStrong skills in SQL and Python\n\nExperience with monitoring tools (e.g. Kibana, Grafana, OpenSearch, Looker or similar)\n\nFamiliarity with version control tools (GitLab, GitHub)\n\nSolid understanding of ML lifecycle and model performance metrics\n\nUndergraduate (BSc.) degree in computer science, mathematics, or some related field\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 platforms (AWS, GCP, Azure)\n\nKnowledge of containerization and orchestration (Docker, Kubernetes)\n\nExposure to workflow orchestration tools (Airflow, Kubeflow)\n\nPrior experience in market research, pricing, revenue assurance, media consumption patterns is valuable but not mandatory\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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