Machine Learning Operation Analyst

jobr.pro; 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

Job summary

NIQ seeks a Senior MLOps Analyst to bridge data science and production in Kuala Lumpur. You’ll ensure ML systems run smoothly, scale smartly, and continuously improve while collaborating with global teams. The role emphasizes automation, monitoring, and best practices in MLOps.

You’ll work with Python, SQL, and modern tooling to optimize workflows, and you’ll be part of a distributed team with strong learning opportunities and cross-functional projects.

Qualifications

• 4+ years of relevant work experience in ML/data ops.
• Strong skills in SQL and Python.
• Experience with monitoring/visualization tools (Kibana, Grafana, OpenSearch, Looker).
• Familiarity with version control tools (GitLab, GitHub).
• Solid understanding of the ML lifecycle and model performance metrics.
• Excellent stakeholder management and communication skills.

Responsibilities

• Monitor and optimize ML models to track performance and output quality.
• Automate and scale data pipelines and model serving workflows.
• Collaborate with data scientists, engineers, analysts, and product teams globally.
• Troubleshoot ML systems and propose long-term improvements.
• Promote code quality and monitoring standards across teams.
• Engage in Communities of Practice and contribute to training initiatives.

Skills

SQL

Python

English

Stakeholder management

Communication

Education

BSc in CS/Math or related field

Tools

Kibana

Grafana

OpenSearch

Looker

GitLab

GitHub

Docker

Kubernetes

Airflow

Kubeflow

Job description

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)

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 https://nielseniq.com/global/en/news-center/diversity-inclusion.