Machine Learning Operation Analyst

Short Summary

Machine Learning Operation Analyst with NielsenIQ. 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…

Key Details

• Position / opportunity: Machine Learning Operation Analyst
• Organization: NielsenIQ
• Country / coverage: Malaysia
• Location: Kuala Lumpur, 14, Malaysia
• Work arrangement: On-site
• Opportunity type: Volunteer opportunities
• Sector: Education
• Compensation: Not specified
• Duration: Not specified
• Start date: 2026-07-14
• Application deadline: Not specified

Description

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. 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 Must-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 Benefits: • 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 work Our Benefits Flexible working environment Volunteer time off LinkedIn Learning Employee-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 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/ 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…

Responsibilities

• 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.
• 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.

Requirements / Eligibility

• valuable but not mandatory Benefits: • Exciting work environment that brings people together.
• • Use the latest digital technologies.
• • Ongoing trainings to support your development.
• • Opportunities for personal and professional growth.

How To Apply

Use the Apply now button and follow the instructions on the application page.