As an MLOps Engineer at NXP, you will accelerate new product introductions by building reliable, scalable, and automated infrastructure that powers analytics and ML solutions across R&D
Job Summary
As an MLOps Engineer at NXP, you will accelerate new product introductions by building reliable, scalable, and automated infrastructure that powers analytics and ML solutions across R&D.
You will collaborate closely with data scientists, engineers, and IT teams to advance modern DevOps and MLOps practices while introducing new technologies and shaping platform standards.
The role involves developing and maintaining infrastructure for global R&D analytics, supporting ML model lifecycle, and enabling Generative AI platforms in a culture focused on collaboration, experimentation, and continual learning.
Matching Summary
As an MLOps Engineer at NXP, you will accelerate new product introductions by building reliable, scalable, and automated infrastructure that powers analytics and ML solutions across R&D.
Skills & Requirements
Must-have
Python and Bash scripting
Containerization with Docker
Cloud infrastructure management on AWS
Infrastructure as Code with Terraform or CDK
CI/CD pipeline automation
Monitoring and observability solutions
Nice-to-have
Strategic problem-solving skills
Strong stakeholder communication
Agile and Scrum experience
Cross-functional collaboration
Supportive team culture
Key Requirements
Master’s degree in data engineering or related field
10+ years software, data, or DevOps engineering experience