<div class="content-intro"><p>Orcrist is building a next generation data intelligence platform using cutting-edge technologies. We're handling petabyte-scale data with sub-second queries. Our product is a Kubernetes‑based platform delivered as B2B SaaS or as a self‑hosted on‑prem solution, including air‑gapped deployments. We enable customers across defense, law enforcement, and enterprise to turn mission-critical data into actionable intelligence.</p></div><h3>Role</h3> <p class="isSelectedEnd">We are looking for a hands-on Machine Learning Engineer to develop and productionize modern computer vision and visual language capabilities across major intelligence and public safety projects. You will work directly with state-of-the-art and open-source computer vision models, visual language models (VLMs), and related AI technologies — training, evaluating, fine-tuning, and optimizing them for real-world use cases.</p> <p class="isSelectedEnd">You will work on challenging problems including object recognition and identification, image and document understanding, geospatial data, satellite imagery, and large-scale visual data. The role combines model development with practical engineering: building data pipelines and scrapers, running experiments, and taking promising approaches into reliable systems.</p> <p>This is a highly hands-on role for someone with exceptional learning ability, strong analytical and engineering skills, and a genuine interest in applying AI to complex problems in the intelligence and public safety domain. You will work closely with other engineers, technical leadership, and cross-functional teams to turn ideas and experiments into impactful capabilities.</p> <h3>What you’ll do</h3> <ul> <li>Develop, train, evaluate, and fine-tune computer vision and visual language models.</li> <li>Work on object recognition, detection, classification, and identification.</li> <li>Build data pipelines, scrapers, and workflows for large-scale visual and geospatial datasets.</li> <li>Experiment with state-of-the-art and open-source models and turn promising approaches into reliable systems.</li> <li>Work with satellite imagery, geospatial data, sensors, and other visual intelligence sources.</li> <li>Take ownership of experimental projects and rapidly explore new ideas and technologies.</li> <li>Collaborate closely with other engineers and technical leadership on key initiatives.</li> <li>Travel every 2–4 weeks for architecture reviews and team events.</li> </ul> <h3>About you</h3> <ul> <li>Bachelor's degree or higher in Computer Science, Physics, Mathematics, or a related field;<strong> with excellent grade record from a leading university </strong>(Master's preferred).</li> <li>Strong academic record and excellent analytical and problem-solving skills.</li> <li>Strong programming skills and experience developing or fine-tuning AI/ML models.</li> <li style="font-weight: bold;"><strong>Experience with computer vision, VLMs, image understanding, or related ML applications.</strong></li> <li>Strong interest in data, analytics, and data pipelines.</li> <li>Exceptional ability and motivation to learn new technologies and domains quickly.</li> <li>Self-directed, hands-on, and comfortable working without close day-to-day management.</li> <li>Strong team player with clear and honest communication.</li> <li style="font-weight: bold;"><strong>Excellent German language skills.</strong></li> <li>Eligible to work full-time in Germany and willing to undergo the required security clearance and background checks.</li> </ul> <h3>Nice-to-haves</h3> <ul> <li>Experience with georeferencing, satellite imagery, remote sensing, OpenStreetMap, or photogrammetry.</li> <li>Experience with large-scale data pipelines, cloud infrastructure, or ML deployment.</li> <li>Experience with sensors such as drones, antennas, or cameras.</li> <li style="font-weight: bold;"><strong>Background in computer vision research, e.g. Fraunhofer IGD or similar.</strong></li> <li>Knowledge of Russian or Ukrainian language.</li> <li style="font-weight: bold;"><strong>Interest or experience in military, intelligence, defense, or public safety domains.</strong></li> </ul> <h3>What we offer</h3> <ul> <li><strong>Remote-first, Germany-wide:&nbsp;</strong>Work from wherever you do your best work, with regular team gatherings in Berlin and other off-site locations.</li> <li><strong>Flexibility by default: </strong>Flexible working hours help you make work fit your life.</li> <li><strong>Your setup, your way: </strong>Get a personal home-office equipment budget to create a workspace that works for you.</li> <li><strong>30 days of vacation:&nbsp;</strong>Take the time you need to recharge and come back with fresh energy.</li> <li><strong>Keep growing: </strong>We invest in your personal and professional development.</li> <li><strong>Get rewarded for impact: </strong>Performance bonuses are tied to agreed objectives and key results.</li> <li><strong>A warm welcome: </strong>Every new team member gets a welcome goodie bag.</li> <li><strong>Good people, good times: </strong>From summer and Christmas parties to regular team gatherings, we make time to celebrate together.</li> <li><strong>A mission that matters: </strong>Work on challenges with tangible impact on public safety and national security.</li> </ul>

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