Job Description
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 t...
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