Senior ML Engineer - Scalable Production ML & MLOps

NielsenIQ; Kuala Lumpur; Hybrid; MYR 90,000 - 120,000; Full time

Job summary

A leading consumer intelligence company in Kuala Lumpur seeks an experienced Senior Machine Learning Engineer to build and scale machine learning systems. The role involves transforming innovative ML research into production-ready solutions, collaborating with global teams, and driving engineering excellence. Candidates should have a strong background in Python, database management, and MLOps practices. The position offers opportunities for personal growth in a hybrid work environment, supporting professional development through ongoing training and mentorship.

Benefits

Ongoing trainings to support development

Flexible working environment

Volunteer time off

LinkedIn Learning

Employee Assistance Program (EAP)

Qualifications

• 4+ years of experience in machine learning software development.
• Strong knowledge of containerization and orchestration tools.
• Professional working proficiency in English.

Responsibilities

• Design, develop, test, deploy, and maintain machine learning solutions.
• Transform data science models into production-ready systems.
• Manage end-to-end ML workflows in both cloud and on-prem environments.

Skills

Python

Machine Learning frameworks

Database management

MLOps

Docker

Kubernetes

Education

Degree in computer science, engineering, statistics, or a related field

Tools

GitLab CI

Prometheus

Grafana

PostgreSQL

BigQuery

Job description

A leading consumer intelligence company in Kuala Lumpur seeks an experienced Senior Machine Learning Engineer to build and scale machine learning systems. The role involves transforming innovative ML research into production-ready solutions, collaborating with global teams, and driving engineering excellence. Candidates should have a strong background in Python, database management, and MLOps practices. The position offers opportunities for personal growth in a hybrid work environment, supporting professional development through ongoing training and mentorship.