Senior MLOps Analyst — Production ML Engineer

Nabla; Kuala Lumpur; On-site; MYR 180,000 - 240,000; Full time

Benefits offered by this job

Hybrid work

Flexible working environment

Volunteer time off

LinkedIn Learning

Employee‑Assistance‑Program (EAP)

Job summary

NielsenIQ in Kuala Lumpur is seeking a Senior MLOps Analyst to join the Global Data Science team. You’ll ensure ML systems run smoothly, scale intelligently, and continuously improve, collaborating with data scientists, engineers, and product teams.

Based in KL with no travel, the role focuses on automating pipelines, monitoring model performance, and deploying robust ML workflows using Python, SQL, and modern MLOps tools.

Qualifications

• 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

Responsibilities

• 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.

Skills

Strong communication skills

English proficiency

Independent / distributed teamwork

Education

Undergraduate degree in computer science or mathematics

Tools

SQL

Python

GitLab

GitHub

Kibana

Grafana

OpenSearch

Looker

Docker

Kubernetes

Airflow

Kubeflow

GCP

Job description

NielsenIQ in Kuala Lumpur is seeking a Senior MLOps Analyst to join the Global Data Science team. You’ll ensure ML systems run smoothly, scale intelligently, and continuously improve, collaborating with data scientists, engineers, and product teams.

Based in KL with no travel, the role focuses on automating pipelines, monitoring model performance, and deploying robust ML workflows using Python, SQL, and modern MLOps tools.