Senior Machine Learning Engineer (Computer Vision) gesucht in Berlin

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., * 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.

• 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., * Experience with photogrammetry, geospatial data, or 3D reconstruction workflows.

• Familiarity with ML experiment tracking (Weights & Biases, MLflow).

• Experience with data annotation pipelines and semi-supervised learning. an

• Contribution to open-source ML projects.

• 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.

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.