Job
In this role, you develop end-to-end computer vision products, manage MLOps processes, operate batch inference pipelines on Azure ML, and combine 2D and 3D data for smarter construction intelligence.
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Your role in the team
- You will own our vision data products end-to-end and have a real say in where our AI journey goes next: which models we build ourselves, where modern platforms and foundation models get us further, and how we bring all of it into dependable production.
- Vision is an important part of our core data products, and it is one part of a genuinely varied role.
- Your time will be spent on vision topics, ML and data engineering, MLOps and data quality across our products.
- If you enjoy seeing the whole path from raw data to a product customers rely on, and you would rather build something lean and durable than reinvent it every quarter, you will feel at home here.
- Own the lifecycle of our productive vision models end-to-end: training playbooks, evaluation with gold sets and per-class metrics, versioning, release gates and drift monitoring.
- Harden and operate our batch inference and geospatial postprocessing pipelines on Azure ML, treating every inference run as a controlled, cost-aware data product release.
- Work with 3D vision data - point clouds (LiDAR), meshes, and 3D building geometries - and help us combine 2D imagery with 3D data into richer building intelligence.
- Steuern Sie unsere Labeling-Operationen gemeinsam mit unserem erfahrenen externen Labeling-Team: Sie legen die Spezifikationen, QA-Stichproben und Abnahmekriterien fest und befähigen das Team, eine hervorragende Datenqualität zu liefern.
- Shape our broader AI direction, including the use of agentic AI and automation to keep our processes lean and our team focused.
- Collaborate closely with our data engineers, data scientists and product manager, sharing knowledge openly so vision expertise grows across the whole team.
Our expectations of you
Education
- You hold a degree or equal experience in Computer Science, Data Science/Engineering, Geoinformatics, Remote Sensing or a related field, or comparable working experience.
Qualifications
- You possess strong Python and solid data engineering skills (pipelines, batch processing, online inference, data quality checks, CI/CD).
- You think pragmatically and economically: you enjoy weighing build-vs-buy options and are happy to choose open models, platforms or existing data when that is the smarter path for the product.
- You communicate clearly, document well and enjoy sharing your knowledge and enabling others (working students, labeling team, colleagues).
- You are highly motivated, hands-on and comfortable with the pace, ambiguity and ownership of a startup environment.
- (Bonus) Knowledge of IT security principles in the context of data handling.
Experience
- You have several years of professional experience bringing ML systems into production (MLOps, CI/CD, monitoring), ideally on Azure.
- You have hands-on experience with computer vision in production - you can evaluate, fine-tune and operate models confidently.
- You have working knowledge of 3D vision data: processing point clouds (e.g., LiDAR, LAS/LAZ), meshes, Gaussian Splats, Voxels, and 3D geometries with tools such as PDAL, Open3D, trimesh or PyVista - and ideally first experience with 3D data formats like CityGML or 3D Tiles.
- You have experience with geospatial data and aerial imagery (PostGIS, QGIS, raster/vector processing) or with photogrammetry and 3D reconstruction and know what georeferencing is.
- You have practical experience with modern AI tooling: foundation models, auto-labeling, vision platforms (e.g. Roboflow) - experience with agentic AI workflows is a strong plus.
- You have experience with labeling operations and data quality assurance, or the structured mindset to set them up.
What we offer
- Competitive salary + Virtual Stock Options (VSOPs).
- Autonomy & responsibility from day one.
- Remote-friendly & flexible work environment.
- Your own gear + access to modern tools.
- Extras like Wellpass.
- Real-world impact - accelerate how Europe finances and transforms its residential building stock.
Topics you will work on
Job locations
About your employer
credium GmbH, based in Augsburg, is a technology company specializing in Building Analytics and digital building data. It combines and analyzes various data sources to provide detailed, location-specific information about buildings. This information and analysis assist banks, insurance companies, and other sectors in making faster and more informed decisions.
- Startup
- Onsite, Full Remote
- Internet, IT, Telecommunication
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