Senior Machine Learning / Data Engineer
External
Nielseniq · Kuala Lumpur, MalaysiaPrepare for this interview
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Responsibilities
- 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
Requirements
- 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
- 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.
Benefits
Additional Information
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.
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