ML Engineer – Computer Vision, VLM

🔥 0 minutes ago

🇩🇪 Germany – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

👁️ Computer Vision Engineer

👻 Ghost score 12%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Orcrist Technologies GmbH

WebsiteLinkedInAll Job Openings

11 - 50 employees

💼 Consulting

🎖️ Defense

📦 Logistics

Consulting • Defense • Logistics

Orcrist Technologies GmbH is a company that builds intelligence-fusion and decision-support solutions for complex environments, combining advanced analytics and AI to help organizations turn uncertainty into strategic advantage. The firm emphasizes enterprise and government-focused offerings, positioning itself as a provider of AI-driven operational intelligence and precision decision tools for public sector and large-organization use cases.

📋 Description

• Develop, train, evaluate, and fine-tune computer vision and visual language models • Work on object recognition, detection, classification, and identification • Build data pipelines, scrapers, and workflows for large-scale visual and geospatial datasets • Experiment with state-of-the-art and open-source models and turn promising approaches into reliable systems • Work with satellite imagery, geospatial data, sensors, and other visual intelligence sources • Take ownership of experimental projects and rapidly explore new ideas and technologies • Collaborate closely with other engineers and technical leadership on key initiatives • Travel every 2–4 weeks for architecture reviews and team events • Develop and productionize computer vision and visual language capabilities for intelligence and public safety projects • Train, evaluate, fine-tune, and optimize AI models for real-world use cases • Work with object recognition, image and document understanding, geospatial data, satellite imagery, and large-scale visual data • Build practical engineering systems from data pipelines and experiments

🎯 Requirements

• Bachelor's degree or higher in Computer Science, Physics, Mathematics, or a related field, with excellent grade record from a leading university • Strong academic record and excellent analytical and problem-solving skills • Strong programming skills and experience developing or fine-tuning AI/ML models • Experience with computer vision, VLMs, image understanding, or related ML applications • Strong interest in data, analytics, and data pipelines • Exceptional ability and motivation to learn new technologies and domains quickly • Self-directed, hands-on, and comfortable working without close day-to-day management • Strong team player with clear and honest communication • Excellent German language skills • Eligible to work full-time in Germany • Willing to undergo the required security clearance and background checks • Experience with georeferencing, satellite imagery, remote sensing, OpenStreetMap, or photogrammetry • Experience with large-scale data pipelines, cloud infrastructure, or ML deployment • Experience with sensors such as drones, antennas, or cameras • Background in computer vision research, e.g. Fraunhofer IGD or similar • Knowledge of Russian or Ukrainian language • Interest or experience in military, intelligence, defense, or public safety domains

🏖️ Benefits

• Remote-first, Germany-wide: Work from wherever you do your best work, with regular team gatherings in Berlin and other off-site locations. • Flexible working hours • Personal home-office equipment budget • 30 days of vacation • Personal and professional development investment • Performance bonuses tied to agreed objectives and key results • Welcome goodie bag • Summer and Christmas parties and regular team gatherings • Work on challenges with tangible impact on public safety and national security