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3D Data Engineer

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Primary stack

PythonOpenCV

Nice to have's

Automotive3D Scanning3D Visualization3d Imaging3d MappingLidarNumPySciPyOpenCVPillowscikit-imageFFmpegPyArrowRaySparkAzureAWSBuilding internal toolingMaster's or PhD-level background in Computer Vision, Robotics or a related discipline

Job description

About the Position

3D Data Engineer

Focus Cloud Limited

London, United Kingdom

On-siteFreelanceDuration 6 months


A cutting-edge AI and autonomous vehicle business is looking for a contract 3D Data/Computer Vision Engineer to build data transformation tooling supporting large-scale annotation and labelling workflows. This is a hands-on engineering role focused on Python, 3D computer vision, sensor geometry, and multimodal data. The successful candidate will work with images, video, LiDAR, and calibration data, transforming datasets between internal systems and external annotation providers.

Responsibilities

  • Build Python scripts and tooling to prepare multimodal datasets for external annotation providers
  • Transform internal data into provider-specific formats and convert completed annotations back into internal systems
  • Work with images, video, LiDAR, calibration data, and 3D sensor datasets
  • Project LiDAR and other 3D data into camera/image space using calibration and sensor geometry
  • Work with coordinate frames, transformations, projection geometry, and rotation matrices
  • Handle geometric annotation structures including polygons, lines, curves, and other spatial formats
  • Build visualization tooling to support annotation workflows and quality checking
  • Transcode image and video data into required external formats
  • Process large datasets in cloud environments using parallel and batch-processing techniques
  • Develop reliable tooling to automate previously manual annotation and data-transformation workflows
  • Support integrations across multiple annotation providers with different formats and technical requirements

Requirements

  • Strong Python engineering experience
  • Commercial experience within 3D computer vision, robotics, autonomous vehicles, or multimodal sensor data
  • Strong understanding of camera calibration, coordinate transformations, projection geometry, and/or rotation matrices
  • Experience working with LiDAR, camera, image, video, or other sensor data
  • Ability to understand relationships between 3D sensor data and image space
  • Experience transforming complex datasets between different formats
  • Experience processing large-scale datasets in cloud environments
  • Knowledge of parallel or batch data-processing techniques
  • Experience with geometric data including polygons, lines, curves, or similar structures
  • Comfortable working with unfamiliar data formats and solving complex data-transformation problems

Nice to Have

  • Autonomous vehicles, robotics, perception, mapping, calibration, or sensor fusion
  • Annotation and labelling pipelines
  • Scale AI, Cognic, Encord, or similar annotation platforms
  • LiDAR, radar, and multimodal sensor datasets
  • 3D reconstruction, structure from motion, or other geometry-heavy computer vision applications
  • NumPy, SciPy, OpenCV, Pillow, or scikit-image
  • FFmpeg and video-transcoding workflows
  • PyArrow, Ray, or Spark
  • Azure, AWS, or other cloud environments
  • Building internal tooling to automate large-scale image, video, or sensor-data workflows
  • Master's or PhD-level background in Computer Vision, Robotics, or a related discipline

We Offer

  • Opportunity to work with cutting-edge AI and autonomous vehicle technologies
  • Hands-on role with a focus on Python, 3D computer vision, sensor geometry, and multimodal data
  • Collaborate with a team of experts in the field of AI and autonomous vehicles

About the Company

Focus Cloud Limited is a leading company in the AI and autonomous vehicle industry, dedicated to pushing the boundaries of technology and innovation. We are committed to developing advanced solutions that will shape the future of transportation and beyond.

© FreelancerMap GmbH. This job description was sourced from the employer's public career page. TheJob is not the employer — we index the posting and route candidates to the source. All content rights and hiring decisions belong to the employer.

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