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Tech Stack
Tools & technologiesCloudPythonPyTorchC++
About the role
Key responsibilities & impact- Develop and improve real-world computer vision systems, focusing 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 product value
- Rapidly build prototypes and validate technical ideas
- Improve model accuracy, reliability, performance, and inference efficiency
- Work with visual data and develop data preparation, training, and evaluation pipelines
- Explore LLMs, embeddings, vision-language models, and other emerging AI technologies
- Use AI coding tools and agents to accelerate development, research, debugging, and prototyping
- Identify ways AI can improve the overall product and user experience
- Take ownership of technical challenges from initial research through implementation and deployment
- Work directly with the client’s team on an all-in-one roofing professionals platform
Requirements
What you’ll need- 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 ability to work with open-ended technical challenges
- Ability to move quickly from an idea or hypothesis to a working prototype
- Experience 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
Benefits
Comp & perks- Career support and assistance finding new opportunities
- Legal assistance with independent contractor or sole proprietorship status, taxes, and related processes
- English courses
- Professional growth opportunities
- Team-building events
- Flexible working hours
- 29 days of PTO (18 working days per year plus all 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