Kerja Sepenuh Masa, Data Analyst - MLOps di NielsenIQ WP Kuala Lumpur - Maukerja

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