
AI/ML Engineer
Posted 2 days ago

Posted 2 days ago
This is a fully remote position, open to applicants in Macedonia.
• Design and enhance real-world computer vision systems with an emphasis on aerial image recognition.
• Create solutions that involve object detection, image segmentation, classification, and pattern recognition.
• Train, fine-tune, assess, and implement computer vision and machine learning models.
• Explore modern vision models, foundation models, and multimodal AI technologies through experimentation.
• Conduct research on innovative AI methods and assess their potential value for products.
• Quickly develop prototypes and validate technical concepts.
• Enhance model accuracy, reliability, performance, and inference efficiency.
• Work with visual data to create data preparation, training, and evaluation pipelines.
• Investigate LLMs, embeddings, vision-language models, and other cutting-edge AI technologies.
• Utilize AI coding tools and agents for development, research, debugging, and prototyping tasks.
• Identify opportunities for AI to enhance product quality and user experience.
• Take ownership of technical challenges from initial research to implementation and deployment.
• Collaborate directly with the client's team on a comprehensive platform for roofing professionals.
• 2–3 years of hands-on professional experience in AI/ML, computer vision, or a related discipline.
• Proficient in Python programming.
• Practical experience in developing and refining real-world computer vision systems.
• Solid understanding of machine learning fundamentals.
• Hands-on experience with PyTorch or another contemporary machine learning framework.
• Experience in object detection, image segmentation, classification, and pattern recognition.
• Proficient in training, fine-tuning, evaluating, and deploying machine learning models.
• Familiarity with modern computer vision models and foundational 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 abilities and capacity to tackle open-ended technical challenges.
• Capability to swiftly transition from an idea or hypothesis to a functional prototype.
• Experience with aerial, satellite, drone, or geospatial imagery is a significant advantage.
• Proficiency with LiDAR, point clouds, photogrammetry, depth estimation, or 3D reconstruction is a significant advantage.
• Previous experience in construction, property technology, mapping, robotics, or a similar sector is a notable advantage.
• Experience in deploying machine learning solutions in cloud environments is a notable advantage.
• Knowledge of GPU computing, inference optimization, or model performance enhancement is a notable advantage.
• Experience with OpenCV, C/C++, or MATLAB is a notable advantage.
• Security through thorough client vetting to mitigate risks and ensure dependable, timely payments.
• Career support and assistance in identifying new opportunities if a project does not align well.
• Legal assistance for independent contractor or sole proprietorship status, taxes, and related processes.
• English language courses and professional development opportunities.
• Team-building activities.
• Flexible working hours.
• 29 days of paid time off (18 working days annually plus all national holidays).
• 10 paid recovery days.
• Comprehensive financial and legal support for independent contractors.
• Free English classes conducted by native speakers or Ukrainian instructors.
• Dedicated HR support.
Shield AI
Weekday (YC W21)
Roadpass Digital
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