Join to apply for the Computer Vision AI Scientist (m/f/d) role at Resaro Overview Resaro is a global AI Assurance company. We are pioneering AI testing and evaluation with a team of AI experts, engineers, and data scientists. Our mission is to ensure an AI market worthy of trust. About the Job We’re looking for a Computer Vision AI Scientist - Synthetic Data Generation who will lead our efforts in synthetic data generation for images, video, and audio. This role will be based in Munich. Your mission is to track and prioritize state-of-the-art synthetic data techniques, implement and fine-tune them, and deploy them as modular Dockerised services integrated with a ComfyUI-based workflow. The types of data generation include (not exhaustive): Deepfake generation (face swaps, voice cloning, lip-syncing, text to image / video). Synthetic X-ray scanner imagery. Object insertion & spatial orientation control. Visual robustness artefacts (e.g., lighting changes, occlusions, adversarial patterns). You’ll manage the full lifecycle of these models from research tracking and model acquisition to fine-tuning, deployment, and ongoing maintenance. Key Responsibilities Research Monitoring & Prioritization: Track advancements in synthetic data generation (GANs, diffusion models, multimodal deepfakes, etc.) and prioritize techniques to prototype and productionize based on internal needs. Implementation & Packaging: Download, set up, and test open-source and pre-trained models; curate or generate training datasets; fine-tune models; optimize for inference (ONNX, quantization, batching); package the solution into Docker containers callable via ComfyUI workflows; document usage guidelines and performance benchmarks. Maintenance & Continuous Improvement: Periodically review and update models; ensure compatibility with evolving infrastructure; collaborate with ML engineers, test designers, and UI developers; share insights on capabilities, trade-offs, and performance. Required Skills and Experience Solid background in computer vision and machine learning, ideally MSc or PhD level. Hands-on experience with synthetic data generation models (deepfakes, GANs, diffusion, etc.). Proficiency in Python, PyTorch or TensorFlow. Experience curating datasets and fine-tuning models on domain-specific data. Comfortable with Docker and building production-ready containers. Familiarity with ComfyUI or similar node-based ML workflow systems. Experience documenting model performance and integrating models into broader pipelines. Ability to independently stay up to date with fast-moving research. Nice-to-Have Experience with audio synthesis and lip-sync tools (e.g., wav2lip, voice cloning). Exposure to medical imaging, X-ray simulation, or other imagery types such as thermal/infra-red or LIDAR. Familiarity with 3D data manipulation, object insertion in spatially aware contexts. Knowledge of robustness testing or adversarial ML techniques. Experience contributing to open-source projects or publishing research. Familiarity with model optimization frameworks (e.g., ONNX, TensorRT). About Us Resaro is an Equal Opportunity Employer. We respect each individual and support the diverse cultures, perspectives, skills and experiences within our teams. #J-18808-Ljbffr