AWS Tech Senior Engineer

Keysight Technologies; Madrid; Presencial; EUR 60.000 - 80.000; Jornada completa

Descripción de la vacante

A leading technology company in Madrid is seeking a Senior Machine Learning Engineer specializing in Computer Vision and Anomaly Detection. You will design and deploy advanced ML pipelines, integrate features into commercial platforms, and collaborate across functions. Ideal candidates have a MSc or PhD, over 5 years of experience in CV development, and expertise in tools like PyTorch and Docker. This role offers the opportunity to work on cutting-edge projects in a vibrant R&D environment.

Formación

• 5+ years in computer vision model development and production deployment.
• Strong expertise in PyTorch, TensorFlow, Scikit-learn, and OpenCV.
• Familiarity with model monitoring and MLOps.

Responsabilidades

• Design and deploy advanced ML pipelines across cloud, edge, and on-device products.
• Perform segmentation, detection, and classification on multi-modal data.
• Build synthetic data and augmentation pipelines to improve robustness.

Conocimientos

Computer Vision model development

Production deployment

Python

C++

CUDA

PyTorch

TensorFlow

Scikit-learn

OpenCV

Docker

Kubernetes

Cloud platforms (Azure / AWS / GCP)

Model monitoring and MLOps

Excellent communication

Cross-functional collaboration

Educación

MSc or PhD in Computer Science

Electrical Engineering

Applied Math

Scientific Computing

Herramientas

MLflow

Weights & Biases

Ray

Descripción del empleo

Keysight 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 AI Labs is a global R&D group pioneering the integration of advanced artificial intelligence 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.

Senior Machine Learning Engineer – Computer Vision & Anomaly Detection

In this role you will 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.

Key Responsibilities

• 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.

Key Qualifications

• 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.