Job
- Level
- Senior
- Location
- Augsburg
- Working Model
- Full Remote, Onsite
- Job Field
- Software, Data
- Employment Type
- Full Time
- Contract Type
- Permanent employment
Job Summary
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.
Job Technologies
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.
This text has been machine translated. Show original
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.
This text has been machine translated. Show original
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.
This text has been machine translated. Show original
Topics You Will Work On
Job Locations
About Your Employer
credium GmbH
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.
Description
- Company Type
- Startup
- Working Model
- Full Remote, Onsite
- Industry
- Internet, IT, Telecommunication
Senior ML Engineer - Computer Vision
- Location
- Augsburg
- Working Model
- Full Remote, Onsite
- Diversity
- Open for all genders
- English Only
- English only required
