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NielsenIQ

Global provider of consumer purchasing data

Senior MLOps Analyst

Applied Machine LearningConfirmed live in the last 24 hours
Full-timeKuala Lumpur, Federal Territory of Kuala Lumpur, MalaysiaNo salary listed

About the Job

Requirements

  • At least 4 years of relevant work experience.
  • Strong skills in SQL and Python.
  • Experience with monitoring tools such as Kibana, Grafana, OpenSearch, Looker, or similar tools.
  • Familiarity with version control tools such as GitLab or GitHub.
  • A solid understanding of the machine learning lifecycle and model performance metrics.
  • An undergraduate degree (BSc.) in computer science, mathematics, or a related field.
  • Professional working proficiency in English.

Responsibilities

  • Build and maintain systems to track model performance and output quality.
  • Simplify and automate workflows around data pipelines and model serving.
  • Work with data scientists, engineers, analysts, and product teams in global cross-functional teams.
  • Investigate machine learning systems to identify issues, implement quick fixes, and propose long-term solutions.
  • Promote code quality, monitoring standards, and MLOps best practices across teams.
  • Contribute to internal Communities of Practice and participate in training, mentorship, and cross-functional projects.

Desired Qualifications

  • Experience with cloud platforms such as AWS, GCP, or Azure.
  • Knowledge of containerization and orchestration tools such as Docker and Kubernetes.
  • Exposure to workflow orchestration tools such as Airflow and Kubeflow.
  • Prior experience in market research, pricing, revenue assurance, or media consumption patterns.

About the Company

NielsenIQ

Global provider of consumer purchasing data

NielsenIQ collects and analyzes consumer purchasing data to help retailers and brands understand market behavior. It tracks what people buy, when, and where, using this data to measure market share and purchasing trends across categories. The product works by aggregating point-of-sale and other consumer data, then turning it into actionable insights and benchmarks that clients can use to optimize pricing, assortment, promotions, and marketing. NielsenIQ differentiates itself through its long history (dating back to 1923) and a broad global footprint (operating in over 100 countries), plus its expanded capabilities after merging with GfK in 2023 to strengthen data on technology and durable goods. Its goal is to provide objective, data-driven guidance that helps retailers and brands make informed decisions and improve performance.

Company size
10,001+
Company stage
IPO
Headquarters
Chicago, IL
Founded
1923

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