ENGINYER / A ELECTRÒNIC / A SENIOR

Keysight Technologies; Madrid; Presencial; EUR 60.000 - 90.000; Jornada completa

Descripción de la vacante

A leading technology firm in Madrid is looking for a Senior Machine Learning Engineer specialized in Computer Vision and Anomaly Detection. The successful candidate will design and deploy advanced ML pipelines integrated into commercial products. Key requirements include a MSc or PhD, 5+ years of experience in CV model development, and strong expertise in PyTorch. The role emphasizes collaboration with cross-functional teams and communication in English. This position offers an exciting opportunity to impact AI-driven technological innovation.

Formación

• 5+ years in CV model development and production deployment.
• Strong expertise in ML frameworks like PyTorch and TensorFlow.
• Experience with ML monitoring and MLOps tools.

Responsabilidades

• Design and deploy advanced ML pipelines across various platforms.
• Build synthetic data and augmentation pipelines to improve model robustness.
• Integrate ML pipelines into commercial products and infrastructure.

Conocimientos

Computer Vision expertise

Anomaly Detection

Python programming

C++ programming

CUDA knowledge

Cross-functional collaboration

Communication skills in English

Educación

MSc or PhD in Computer Science, Electrical Engineering, Applied Math or related field

Herramientas

PyTorch

TensorFlow

Scikit-learn

OpenCV

Docker

Kubernetes

Cloud platforms (Azure/AWS/GCP)

Descripción del empleo

is on the forefront of technology innovation, delivering breakthroughs and trusted insights in electronic design, simulation, prototyping, test, manufacturing, and optimization. Our ~15,000 employees create world-class solutions in communications, 5G, automotive, energy, quantum, aerospace, defense, and semiconductor markets for customers in over 100 countries. Our

culture embraces a bold vision of where technology can take us and a passion for tackling challenging problems with industry-first solutions. About Keysight AI Labs

Keysight’s

AI Labs

is a global R&D group pioneering the integration of

into Keysight’s test, measurement, and design solutions. Our mission is to transform how engineers design, simulate, and validate advanced systems- from 6G and semiconductors to quantum and automotive - by embedding AI throughout our workflows.

As part of this growing team, you will join a vibrant, cross-functional environment that brings together experts in ML engineering, data science, physics-informed modeling, and software development. You’ll work closely with domain experts across RF, EM, circuit design, and test & measurement to accelerate scientific innovation through AI.

We are seeking a

Senior Machine Learning Engineer specialized in Computer Vision and Anomaly Detection

to design and deploy advanced ML pipelines across cloud, edge, and on-device products. You will help convert R&D breakthroughs into scalable ML features integrated into Keysight’s flagship commercial platforms.

The ideal candidate is passionate about foundational CV models, real-time performance, and uncovering rare patterns in high-dimensional data (signals, images, videos).

Perform segmentation, detection, and classification on multi-modal, dynamic data

Build synthetic data and augmentation pipelines to improve robustness

Develop production-quality software (Python / C++ / CUDA) with CI / CD best practices

Integrate ML pipelines into Keysight’s commercial products and infrastructure

Publish findings and contribute to open-source projects when appropriate

MSc or PhD in Computer Science, Electrical Engineering, Applied Math, Scientific Computing, or related field

~5+ years in CV model development and production deployment

~ Strong expertise in PyTorch (preferred), TensorFlow, Scikit-learn, OpenCV

~ Familiarity with model monitoring and MLOps (MLflow, W&B, Ray)

~ Experience with Docker / Kubernetes, and major cloud platforms (Azure / AWS / GCP)

~ Excellent communication in English and cross-functional collaboration skills

~ Experience with measurement systems, RF / waveform data, or signal-intelligence

Experience interacting with customers or product-focused engineering teams