Machine Learning Engineer

NielsenIQ; Kuala Lumpur; Hybrid; MYR 180,000 - 280,000; Full time

Benefits offered by this job

Hybrid work

Flexible environment

Training & development

LinkedIn Learning

Job summary

NielsenIQ is seeking a Senior Machine Learning Engineer to turn cutting‑edge ML research into scalable, production‑grade solutions powering global decisions. You'll join the Tech & Durable Global Data Science team, collaborating across data science and engineering to transform research into robust systems.

If cloud, MLOps, and data‑driven problem solving excite you, and you thrive in a learning‑oriented, collaborative environment, this role is for you.

Qualifications

• Degree in computer science, engineering, statistics, or related field.
• 4+ years of experience in machine learning software development.
• Strong Python skills and ML libraries/frameworks.
• Experience with large-scale database environments.
• Knowledge of Docker and Kubernetes for production systems.
• Excellent communication and collaboration with cross-functional teams.

Responsibilities

• Design, develop, test, deploy, and maintain ML solutions.
• Productionize prototypes into scalable, production‑ready systems.
• Own end-to-end ML lifecycles using MLOps in cloud and on‑prem.
• Collaborate with global data scientists, engineers, and product teams.
• Develop tools and best practices to elevate ML engineering standards.
• Mentor teammates and contribute to internal learning communities.
• Influence ML engineering strategy and technical roadmaps.

Skills

English proficiency

Stakeholder management

Independent work

Distributed teams

Education

BSc/MSc/PhD in CS/Engineering/Statistics

Tools

Docker

Kubernetes

Kubeflow

MLflow

GitLab CI

Prometheus

Grafana

PostgreSQL

BigQuery

Job 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.

Job Description

As a Senior Machine Learning Engineer, you’ll play a key role in turning innovative ML research into scalable, real-world solutions that power global decision-making. At NiQ, we’re looking for someone to join our Tech & Durable Global Data Science team, working at the intersection of data science and engineering to transform cutting‑edge research into robust, production‑ready systems.

If you're excited by cloud technologies, MLOps, and solving complex problems with smart, data‑driven approaches, and you thrive in a collaborative, learning‑focused environment, this role is for you.

What You’ll Do

• Build & Scale ML Systems: Design, develop, test, deploy, and maintain machine learning solutions using software engineering best practices.
• Productionize Prototypes: Transform data science models into scalable, production‑ready systems for real‑world applications.
• Own the ML Lifecycle: Implement and manage end‑to‑end ML workflows using MLOps practices in both cloud and on‑prem environments.
• Collaborate Globally: Partner with data scientists, software engineers, and product experts in cross‑functional, international teams.
• Drive Engineering Excellence: Develop and refine tools, methods, and best practices to elevate ML engineering standards.
• Mentor, Share & Grow: Support team development through mentoring, contribute to internal Communities of Practice, and engage in training and cross‑functional learning opportunities.
• Shape the Future of ML: Influence the direction of ML engineering at NIQ by contributing to strategic initiatives and technical roadmaps.

Tech Stack You’ll Work With

• Languages & Frameworks: Python, SQL, Argo, Kubeflow, MLflow
• CI/CD Tools: GitLab CI
• Monitoring: Prometheus, Grafana
• Containers & Orchestration: Docker, Kubernetes
• Databases: PostgreSQL, BigQuery, RDBMS

Qualifications

Must‑Haves

• Degree in computer science, engineering, statistics, or a related field (BSc, MSc, or PhD).
• 4+ years of experience in machine learning software development.
• Strong Python skills and experience with ML libraries and frameworks.
• Solid experience working in large‑scale database environments.
• Knowledge of containerization and orchestration (Docker, Kubernetes).
• Solid experience with production‑level code quality and collaboration with software/testing engineers.
• Solid understanding of statistical methods and machine learning algorithms
• 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 environments (AWS, GCP)
• Familiarity with MLflow or similar ML lifecycle tools.
• Experience with agile development practices.
• Background in forecasting, pricing, revenue assurance, or media analytics is a plus.

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