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Machine Learning Operation Analyst

Pay
Pay not listed
Work setting
Not stated
Employment
Full-time — employment source
Employment type in the employer’s posting: Full-time
From the employer’s posting

What you’ll work on

Full posting
  • Build and maintain systems that track model performance and output quality

  • Automate and simplify workflows for data pipelines and model serving

  • Troubleshoot ML systems, apply quick fixes, and propose long-term solutions

  • Promote code quality and monitoring standards across teams

From the employer’s posting
Build and maintain systems to track model performance and output quality.
Simplify and automate workflows around data pipelines and model serving.
Deep-dive into ML systems to identify issues, implement quick fixes, and propose long-term solutions.
Promote code quality, monitoring standards, and MLOps excellence across teams.

What you’ll bring

All qualifications

Core experience

  • 4+ years of relevant work experience
  • Strong skills in SQL and Python
  • Experience with monitoring tools such as Kibana, Grafana, OpenSearch, or Looker
  • Familiarity with version control tools such as GitLab or GitHub
  • Undergraduate (BSc.) degree in computer science, mathematics, or a related field
Qualification wording
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)
Undergraduate (BSc.) degree in computer science, mathematics, or some related field
Education & alternatives
- 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.

About NielsenIQ

At NIQ, we are steadfast in our commitment to fostering an inclusive workplace that mirrors the rich diversity of the communities and markets we serve.

In the employer’s words · Read in context

Apply at NielsenIQ

Posting record

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Open 3 monthsWe first saw this posting 102 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.

Status in our records
Live
First seen by us
Jul 24, 2026102 days ago
Recorded sightings
693
Last seen by us
Nov 4, 2026
Employer says posted
Jul 14, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Time since we first saw it

Day 102

Up longer than most. Similar jobs usually come down between day 6 and day 69.

From 4,284 similar postings that came down. Coming down is not always a hire.

NielsenIQ is hiring

78 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Hiring at a steady pace
  • Takes jobs down quickly
  • 19% of open jobs were reposted
Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • Python
  • SQL
  • AWS
  • Azure
  • Docker
  • Excel
  • GCP
  • Grafana
  • Kibana
  • Kubernetes
  • Looker
  • Airflow
Where the posting names them
Tech Stack You’ll Work With - Languages & Tools: Python, SQL, GitLab, MS Excel - Monitoring & Visualization: Kibana, Grafana, OpenSearch, Looker
- 4+ years of relevant work experience - Strong skills in SQL and Python - Experience with monitoring tools (e.g. Kibana, Grafana, OpenSearch, Looker or similar)
Nice-to-Haves - Experience with cloud platforms (AWS, GCP, Azure) - Knowledge of containerization and orchestration (Docker, Kubernetes)
- Monitoring & Visualization: Kibana, Grafana, OpenSearch, Looker - Workflow & Deployment: Docker, Kubernetes, Airflow, Kubeflow - Cloud Platform: GCP
- Experience with cloud platforms (AWS, GCP, Azure) - Knowledge of containerization and orchestration (Docker, Kubernetes) - Exposure to workflow orchestration tools (Airflow, Kubeflow)
- Workflow & Deployment: Docker, Kubernetes, Airflow, Kubeflow - Cloud Platform: GCP - Automation: Power Automate
- Languages & Tools: Python, SQL, GitLab, MS Excel - Monitoring & Visualization: Kibana, Grafana, OpenSearch, Looker - Workflow & Deployment: Docker, Kubernetes, Airflow, Kubeflow
- 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)
- 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

Your next step

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Job description

View original posting ↗

Job 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 

Qualifications

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 

Additional Information

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 International portfolio company with operations in 100+ markets, covering more than 90% of the world’s population.

For more information, visit NIQ.com

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Our commitment to Diversity, Equity, and Inclusion

At 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. To learn more about our ongoing efforts in diversity and inclusion, please visit the https://nielseniq.com/global/en/news-center/diversity-inclusion

Company 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.

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Location & working pattern

Kuala Lumpur, 14, Malaysia

• Opportunities for personal and professional growth. • Hybrid work Our Benefits
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