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Senior ML Engineer: Computer Vision & Anomaly Detection

Keysight Technologies

Madrid

Presencial

EUR 60.000 - 80.000

Jornada completa

Hoy
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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
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.
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