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Description MWDN is an international recruitment and outstaffing company with 23+ years of experience connecting exceptional tech talent with leading companies across Israel, the USA, Great Britain, and Western Europe. In this role, MWDN acts as the recruitment partner, and the selected candidate will work directly with the client’s team on their product in an international environment. Why does MWDN rock? Here’s what you can expect when you join MWDN: Security: We carefully vet our clients to minimize risks and ensure reliability and timely payments - no fraud or unpleasant surprises. Career support: If a project isn’t the right fit, we support you and actively help find new opportunities that match your skills and career goals. Legal assistance: We provide guidance on legal matters, including opening and managing your independent contractor or sole proprietorship status, taxes, and related processes. Professional development: We offer English courses and professional growth opportunities, as well as team-building events. Why choose us? MWDN is ranked among the top 5 IT employers in our region according to DOU. We take pride in our transparency and strong commitment to our team. Curious to learn more? See what our employees say about working with us on DOU. What is your new project? Domain: Construction Tech / PropTech Client Location: USA Company size: 11–50 Founded in: 2016 A US-based software company building an all-in-one platform for roofing professionals. The product enables contractors to remotely measure roofs, generate detailed reports and instant estimates, and present materials to customers through web and mobile applications. The company is enhancing its aerial-image recognition capabilities and exploring new ways to apply AI across the product. The environment offers direct access to the co-founder, fast decision-making, minimal bureaucracy, and a strong culture of ownership and innovation. What makes this project exciting? We are looking for a curious, creative, and product-minded AI/ML Engineer who can significantly improve our computer vision capabilities and identify new opportunities to apply AI across the product. This role is ideal for someone who enjoys experimentation, quickly transforms ideas into working prototypes, and is comfortable independently exploring new technologies and approaches. We are looking for an engineer who can take ownership of an open-ended problem rather than wait for detailed instructions. What makes you a great fit 2–3 years of hands-on professional experience in AI/ML, computer vision, or a closely related field. Strong Python skills. Practical experience building and improving real-world computer vision systems. Strong understanding of machine learning fundamentals. Hands-on experience with PyTorch or another modern machine learning framework. Experience with object detection, image segmentation, classification, and pattern recognition. Experience training, fine-tuning, evaluating, and deploying ML models. Familiarity with modern computer vision models and foundation models. Experience using AI coding tools or agents for development, research, debugging, and rapid prototyping. Familiarity with LLMs, multimodal AI, embeddings, or vision-language models. Strong problem-solving skills and the ability to work with open-ended technical challenges. Ability to move quickly from an idea or hypothesis to a working prototype. Strong Plus Experience working with aerial, satellite, drone, or geospatial imagery. Experience with LiDAR, point clouds, photogrammetry, depth estimation, or 3D reconstruction. Previous experience in construction, property technology, mapping, robotics, or a similar industry. Experience deploying ML solutions in cloud environments. Knowledge of GPU computing, inference optimization, or model performance optimization. Experience with OpenCV, C/C++, or MATLAB. Your day-to-day in this position Develop and improve real-world computer vision systems, with a strong focus on aerial image recognition. Build solutions involving object detection, image segmentation, classification, and pattern recognition. Train, fine-tune, evaluate, and deploy computer vision and machine learning models. Experiment with modern vision models, foundation models, and multimodal AI technologies. Research new AI approaches and evaluate their potential value for the product. Rapidly build prototypes and validate technical ideas. Improve model accuracy, reliability, performance, and inference efficiency. Work with visual data and develop effective data preparation, training, and evaluation pipelines. Explore the use of LLMs, embeddings, vision-language models, and other emerging AI technologies. Use AI coding tools and agents to accelerate development, research, debugging, and prototyping. Think beyond individual algorithms and identify ways AI can improve the overall product and user experience. Take ownership of technical challenges from initial research through implementation and deployment. Why work with us? People-first management with minimal bureaucracy A friendly company culture, proven by employees who choose to return Flexible working hours 29 days of PTO (18 working days per year pluse 11 days of national holidays) 10 paid recovery days Full financial and legal support for independent contractors Free English classes, with native speakers or Ukrainian teachers Dedicated HR support Our next steps ✅ Intro call with a Recruiter — ✅ Intro with the client — ✅ Tech interview — ✅ Final client interview— ✅ Offer Originally posted on Himalayas