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Inetum · Madrid, Madrid provincia

Senior Computer Vision & Edge AI Engineer

seniorfull timePosted today
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Stack mentioned

computer-visionanomaly-detectionc++deep-learningpytorchonnxpythonlinuxdockergitcudamlopsmlflowazureiot

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 profesional 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

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Expert-level PyTorch: CNN / transformer vision architectures, training, evaluation and rigorous ONNX export (zero train/serve skew).

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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).

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Supervised defect segmentation and detection (encoder–decoder, DETR-family): training, acceptance criteria and imbalanced datasets.

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Methodological rigor: AUROC / AUPRO alongside plant-level metrics (escape rate, false-reject rate) and regression validation against recorded data.

C++ & Real-Time Systems

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Expert-level modern C++ (C++17/20) for real-time vision pipelines, in addition to expert Python.

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High-performance systems design: native pipeline/orchestrator coordinating capture, pre-processing, inference and post-processing while keeping data in memory and avoiding unnecessary copies and hops.

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Hard latency budgets: determinism, watchdogs and graceful degradation.

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Linux, Docker, Git and CI as the natural working environment.

GPU & Inference Optimization (NVIDIA)

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Solid CUDA: execution model, streams, CUDA Graphs, memory management (pinned, unified, pre-allocation), writing and debugging custom kernels.

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GPU libraries: cuBLAS, NPP, CV-CUDA, Thrust or equivalents for accelerated image pre-processing and scoring.

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TensorRT in production: engine building, mixed FP16 / INT8 precision with custom quantization calibration, precision-degradation diagnosis and dynamic batching.

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Triton Inference Server in production.

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Profiling with Nsight Systems / Nsight Compute; p99 latency characterization per stage and finding the real bottleneck before optimizing.

Data & MLOps

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Model versioning and registry (MLflow or equivalent), reproducibility and dataset curation (CVAT).

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Traceability: able to demonstrate which model, data and version produced a given result.

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Models in production: monitoring, drift detection and a retraining / rollback policy.

Nice to Have

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Custom TensorRT plugins.

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Industrial cameras — GigE Vision (ideally Basler pylon); optics, lighting and photometric calibration (flat-field).

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Anomalib (advanced use or upstream contributions).

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Manufacturing / quality context (automotive or another regulated industry); ISA-95 and IEC 62443.

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Public cloud and cloud MLOps (ideally Azure: IoT Edge, ML).

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Publications, talks or open source in vision / anomaly detection.

Información adicional

¿Qué podemos ofrecerte:

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Formarás parte de un gran equipo de profesionales con inquietud y motivación por el desarrollo y la programación y participaras en nuevos y punteros proyectos para la compañia.

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Trabajarás a jornada completa con un horario flexible bajo un modelo de trabajo 100% remoto.

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22 días de vacaciones + 2 de asuntos propios.

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Formación por parte de la empresa para que puedas seguir desarrollándote y promocionar dentro del plan de carrera que existe para ti.

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Podrás asistir a eventos y conferencias relevantes del sector.

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Contrato indefinido.

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Estabilidad y buen clima laboral.

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Salario Competitivo.

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Acceso a ventajas del grupo de empresa

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Retribución flexible y más beneficios

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