Computer vision engineer Jobs in Berlin
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Computer vision engineer • berlin
Senior Machine Learning Engineer (Computer Vision)
Airteam Aerial Intelligence GmbHBerlin, GermanySoftware Engineer (all genders) Machine Learning for Content Solutions
ZalandoBerlin, Berlin, GermanyAI / Robotics Research Engineer
Promethion Industries GmbHBerlin, GermanyVerkäufer (m / w / d) für Computer / Konsolen •
PerZukunft Arbeitsvermittlung GmbH&Co.KGBerlin, DeutschlandPRAXIS IN SCHÖNEBERG / WILMERSDORF SUCHT LEIDENSCHAFTLICHE PHYSIOS DIE UNSERE VISION TEILEN
Fit durch PhysioBerlin, GermanyLead Fullstack Engineer (Vision Pro)
ZAUBARBerlin, GermanyData Scientist (Medical Computer Vision) (f / m / d)
Nia Health GmbHBerlin, DESenior Computer Vision Engineer Berlin (fmx)
AUTO1 GroupBerlin, Berlin, GermanyComputer Vision Data Scientist, Receipt Fraud
TechBiz Global GmbHBerlin, BE, DEKundensupport (w / m / d) - Alpha Computer GmbH
Alpha Computer GmbHBerlin, DE- Gesponsert
Junior Machine Learning / AI Engineer (m / w / d) - System Engineering / Admin, Ingenieur
Reply Deutschland SEBerlin, DE- Gesponsert
Consultant AI Engineer / Full Stack Engineer (m / w / d) - Anwendungsentwicklung, Consulting, Ingenieur
DeloitteBerlin, DESenior Machine Learning Engineer AI Integration Engineer
LINDERA GmbHBerlin, Berlin, GermanyFounding AI Engineer
Revive It RecruitmentBerlin, Berlin, GermanySenior Backend Engineer
NAVITBerlin, GermanyStudent Assistant Computer Vision / Deep Learning
Fraunhofer-GesellschaftBerlinAI Applied Scientist - PhD Intern, 3D Computer Vision
ZillowGermany,RemoteRESEARCH AND DEVELOPMENT ENGINEER
ROBOVISBerlin, GermanyLecturer Computer Science Algorithmics (m / f / d)
IU International University of Applied SciencesBerlin, GermanyÄhnliche Suchanfragen
Senior Machine Learning Engineer (Computer Vision)
Airteam Aerial Intelligence GmbHBerlin, Germany- Quick Apply
About Us
At Airteam Aerial Intelligence, we build cutting-edge solutions for drone-based 3D photogrammetry, solar planning, and automated data analysis.
Our platform combines 3D reconstruction, geospatial analytics, and computer vision to deliver precise and scalable insights to the renewable energy industry.
We’re looking for a Senior Machine Learning Engineer (Computer Vision) to join our AI team. You’ll take ownership of our model lifecycle — from exploration and experimentation to production integration — ensuring the continued delivery of high-quality AI features to our customers.
Aufgaben
Lead model development for computer vision and 3D analysis tasks (e.g., object segmentation, surface classification, and geometry-based inference).
Evaluate and integrate pre-trained models (e.g., vision transformers, segmentation networks, diffusion-based methods) to accelerate delivery.
Train and fine-tune models on in-house and synthetic datasets.
Deploy models to production in collaboration with MLOps and backend teams (Python-based stack, GCP infrastructure).
Maintain and monitor production models, ensuring accuracy, performance, and reliability.
Collaborate cross-functionally with software, product, and operations teams to translate product requirements into ML deliverables.
Document and communicate findings , models, and pipelines.
Qualifikation
5+ years of experience in applied Machine Learning , with at least 3 years in computer vision (e.g., image segmentation, detection, or reconstruction).
Solid experience with PyTorch or TensorFlow , OpenCV, and Python .
Strong understanding of CNNs, vision transformers, feature extraction , and 3D vision (SfM, MVS, or point clouds a plus).
Experience with training pipelines, dataset management , and hyperparameter optimization.
Familiarity with model deployment (FastAPI, Flask, TorchServe, Vertex AI or custom inference services).
Experience with GCP or other cloud ML infrastructure, Docker , and CI / CD for ML pipelines.
Comfortable reading academic papers , evaluating SOTA architectures, and adapting them to production constraints.
Strong communication and documentation skills — capable of maintaining project continuity during a temporary leadership gap.
Benefits
- Flexible hybrid / remote setup (Berlin-based or EU-friendly timezone).
- Opportunity to lead the AI roadmap in a high-impact domain (renewable energy and 3D mapping).
- Collaborative and pragmatic engineering culture — focused on results, not meetings.
- Direct collaboration with the CTO and MLOps team.
Nice to Have :
Experience with data annotation pipelines and semi-supervised learning.
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Airteam ist eine durch KI-gestützte Software um Drohnendaten in CAD Modelle umzuwandeln.