Descripción de la empresa
INETUM
Somos un Consultora digital, internacional y ágil. En la era de la post-transformación digital, nos esforzamos para que cada uno de nuestros 28.000 profesionales pueda renovarse continuamente.
Cada uno de ellos puede diseñar su itinerario competente de acuerdo a sus preferencias, emprender junto a sus clientes para construir en la práctica un mundo más positivo, innovar en cada uno de los 27 países y conciliar su carrera profesional con su bienestar personal.
Nuestros 28.000 atletas digitales están orgullosos de haberse certificado Top Employer Europe 2024
Descripción del empleo
Senior engineer with full, end-to-end technical ownership of the vision core of an industrial visual inspection product built on the NVIDIA platform. Combines deep expertise in unsupervised anomaly detection and defect segmentation with production-grade GPU inference optimization and complete model lifecycle management. Also able to design and lead the evolution of the pipeline orchestration toward a high-performance native C++ core,
delivering real-time decisions on the factory floor.
Requisitos
Deep Learning & Computer Vision
- Expert-level PyTorch: CNN / transformer vision architectures, training, evaluation and rigorous ONNX export (zero train/serve skew).
- One-class / unsupervised anomaly detection: PatchCore, EfficientAD, PaDiM, student–teacher, normalizing flows, and their real failure modes (reference-set contamination, threshold calibration with few or no defective samples, synthetic defects via cut-paste / DRAEM, over-rejection, drift).
- Supervised defect segmentation and detection (encoder–decoder, DETR-family): training, acceptance criteria and imbalanced datasets.
- Methodological rigor: AUROC / AUPRO alongside plant-level metrics (escape rate, false-reject rate) and regression validation against recorded data.
C++ & Real-Time Systems
- Expert-level modern C++ (C++17/20) for real-time vision pipelines, in addition to expert Python.
- High-
📌 Senior Computer Vision (España)
🏢 Inetum
📍 España