ML OPS Engineer (Bengaluru)

ML OPS Engineer (Bengaluru)

13 Aug
|
NXP Semiconductors
|
Bengaluru

13 Aug

NXP Semiconductors

Bengaluru

Are you ready to join the future of innovation at NXP?
As an MLOps Engineer with a focus on Data & Machine Learning, you will accelerate NXP’s New Product Introductions by building reliable, scalable, and automated infrastructure that powers analytics and ML solutions across R&D.; Your work enables rapid experimentation, seamless deployments, and robust production operations for data‑driven applications and machine‑learning models.

You will collaborate closely with data scientists, data engineers, software developers, and IT teams to advance modern DevOps and MLOps practices. This role offers the opportunity to introduce new technologies, shape platform standards, and drive continuous improvement across our R&D; analytics ecosystem.

This is what you will do as MLOps Engineer at NXP
As part of the Hardware Design Analytics team, you will develop and maintain the infrastructure and operational capabilities behind our global R&D; analytics environment. You’ll play a key role in enhancing performance, reliability, and scalability while contributing to a culture built on collaboration,



experimentation, and continual learning.

Your key responsibilities[FP1.1][FP1.2][FP1.3][FP1.4][FP1.5]

· Stakeholder Collaboration: Work with project managers, resource managers, IT teams, and other stakeholders to gather requirements, define project scope, and ensure alignment with business objectives.
· CI/CD, Automation & Developer Experience: Design and maintain automated pipelines and development tooling that streamline the workflow for data scientists and ML engineers. Provide standardized environments, reusable templates, and smooth local‑to‑production processes to improve productivity and ensure rapid, reliable delivery across ML, analytics, and data engineering projects.
· Platform & Infrastructure Engineering: Develop and manage cloud and on‑prem infrastructure supporting data processing, analytics applications, and ML workloads. Ensure reliability, scalability, and reproducibilit

📌 ML OPS Engineer (Bengaluru)
🏢 NXP Semiconductors
📍 Bengaluru

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