AI Engineer

🕒 September 2

🇪🇸 Spain – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 AI Engineer

👻 Ghost score 11%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Ziff Davis

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 1927

💼 Consulting

🏥 Healthcare

📣 Marketing

💰 $650M Post-IPO Debt on 2017-06

Consulting • Healthcare • Marketing

Ziff Davis is a multi-billion dollar digital media and internet company, home to over 40 leading brands in technology, shopping, gaming and entertainment, connectivity, health and wellness, cybersecurity, and martech. With a focus on mergers and acquisitions, Ziff Davis has deployed around $3 billion in capital, leveraging its deep industry knowledge, technological expertise, and investment acumen. The company is committed to corporate responsibility, emphasizing diversity, equity, and inclusion, as well as environmental, social, and governance practices. Ziff Davis serves millions of customers worldwide, offering a diverse range of digital media and internet services.

📋 Description

• Design, build, and maintain real-time 3D spatial processing pipelines using sensor fusion from LiDAR, camera feeds, and spatial telemetry • Filter and segment point clouds and perform 3D layout analysis • Develop computer vision models and post-processing algorithms to extract structural features and recognize building geometry • Generate precise 2D/3D floorplans from raw visual and spatial data • Translate research findings, algorithmic prototypes, and AI/ML/LLM concepts into high-performance, maintainable Python production code • Own core product implementations • Architect, deploy, and manage multi-model inference pipelines on AWS SageMaker and NVIDIA Triton Inference Server • Build end-to-end data and MLOps pipelines including synthetic data generation, active annotation, dataset versioning, CI/CD, and real-time telemetry • Evaluate, deploy, and monitor model performance, latency, and spatial accuracy • Collaborate with software engineering, research, and product management teams to transition prototypes into scalable, market-ready releases

🎯 Requirements

• Production-level mastery of Python alongside working knowledge of C++ or Swift • Hands-on experience with OpenCV, Open3D, or PCL (Point Cloud Library) for point cloud filtering, spatial segmentation, feature extraction, and 2D/3D coordinate transformations • Deep experience with PyTorch or TensorFlow • Proficiency in Scikit-learn for traditional machine learning and statistical data analysis • Proven experience building low-latency serving infrastructure using NVIDIA Triton Inference Server • Experience managing end-to-end model workflows on AWS SageMaker • Familiarity with model quantization, pruning, and target compilers such as ONNX Runtime and TensorRT • Solid foundation in linear algebra, 3D geometry, coordinate systems, and multi-sensor fusion • Awareness of modern LLM/multimodal applications • Basic understanding of RF environment simulation, indoor spatial coverage modeling, or wireless network planning principles • Experience optimizing or running vision models on iOS devices using CoreML, ARKit, or Metal (preferred)