AI Engineer: 3D Spatial Vision & Scalable ML

Ookla; España; In loco; EUR 90.000 - 140.000; Tempo pieno

Descrizione del lavoro

Ookla is seeking an AI Engineer to join the Ekahau team, shaping how indoor environments are captured and analyzed for global connectivity. You will bridge spatial AI with modern AI/ML/LLM approaches, deploying scalable edge and cloud infrastructure and leading experiments from proof-of-concept to production-grade systems.

You will build end-to-end 3D spatial pipelines, develop CV models for floorplan extraction, and own multi-model inference on AWS SageMaker and Triton.

Competenze

• Proficient in Python with production-grade coding practices.
• Strong experience with 3D spatial processing and computer vision.
• Hands-on experience with PyTorch or TensorFlow for ML/DL.
• Experience deploying ML models on cloud platforms (SageMaker) and edge servers (Triton).
• Familiarity with MLOps, data pipelines, CI/CD, and observability.
• Understanding of multi-sensor fusion and 3D geometry.

Mansioni

• Design, build, and maintain real-time 3D spatial processing pipelines using sensor fusion (LiDAR, cameras).
• Develop computer vision models to extract 2D/3D floorplans from spatial data.
• Translate research into production-grade Python code and core product features.
• Architect and manage multi-model inference pipelines on AWS SageMaker and Triton Inference Server.
• Build end-to-end MLOps pipelines with synthetic data, annotation, versioning, and telemetry.
• Collaborate with software, research, and product teams to deliver scalable releases.

Conoscenze

Python

C++/Swift

OpenCV

Open3D

PCL

PyTorch

TensorFlow

Scikit-learn

NVIDIA Triton

AWS SageMaker

MLOps

Data pipelines

Strumenti

OpenCV

Open3D

PCL

PyTorch

TensorFlow

Scikit-learn

NVIDIA Triton

AWS SageMaker

Descrizione del lavoro

Ookla is seeking an AI Engineer to join the Ekahau team, shaping how indoor environments are captured and analyzed for global connectivity. You will bridge spatial AI with modern AI/ML/LLM approaches, deploying scalable edge and cloud infrastructure and leading experiments from proof-of-concept to production-grade systems.

You will build end-to-end 3D spatial pipelines, develop CV models for floorplan extraction, and own multi-model inference on AWS SageMaker and Triton.