
AI/ML Engineer
Posted 1 day ago

Posted 1 day ago
This is a fully remote position, open to applicants in Albania.
• Design and enhance real-world computer vision systems with a focus on aerial image recognition.
• Create solutions that involve object detection, image segmentation, classification, and pattern recognition.
• Train, fine-tune, assess, and deploy computer vision and machine learning models.
• Experiment with contemporary vision models, foundational models, and multimodal AI technologies.
• Investigate new AI methodologies and assess their potential value for products.
• Swiftly develop prototypes and validate technical concepts.
• Enhance model accuracy, reliability, performance, and inference efficiency.
• Work with visual data and establish data preparation, training, and evaluation pipelines.
• Explore LLMs, embeddings, vision-language models, and other cutting-edge AI technologies.
• Utilize AI coding tools and agents to expedite development, research, debugging, and prototyping.
• Identify opportunities for AI to enhance the overall product and user experience.
• Take ownership of technical challenges from initial research to implementation and deployment.
• 2–3 years of relevant professional experience in AI/ML, computer vision, or a closely related domain.
• Proficient in Python.
• Practical experience in building and enhancing real-world computer vision systems.
• Solid understanding of machine learning principles.
• Hands-on experience with PyTorch or another contemporary machine learning framework.
• Familiarity with object detection, image segmentation, classification, and pattern recognition.
• Experience in training, fine-tuning, evaluating, and deploying ML models.
• Knowledge of modern computer vision models and foundational models.
• Experience utilizing AI coding tools or agents for development, research, debugging, and rapid prototyping.
• Awareness of LLMs, multimodal AI, embeddings, or vision-language models.
• Strong problem-solving abilities and capacity to tackle open-ended technical challenges.
• Ability to transition swiftly from an idea or hypothesis to a functioning prototype.
• Strong plus: experience with aerial, satellite, drone, or geospatial imagery.
• Strong plus: experience with LiDAR, point clouds, photogrammetry, depth estimation, or 3D reconstruction.
• Strong plus: previous experience in construction, property technology, mapping, robotics, or a related field.
• Strong plus: experience deploying ML solutions in cloud environments.
• Strong plus: knowledge of GPU computing, inference optimization, or model performance optimization.
• Strong plus: experience with OpenCV, C/C++, or MATLAB.
• Security through client vetting to reduce risks and ensure reliable and timely payments.
• Career support and assistance in finding new opportunities.
• Legal assistance regarding independent contractor or sole proprietorship status, taxes, and related processes.
• English language courses.
• Opportunities for professional growth.
• Team-building activities.
• Flexible working hours.
• 29 days of paid time off (18 working days per year plus all national holidays).
• 10 paid recovery days.
• Comprehensive financial and legal support for independent contractors.
• Free English classes with native speakers or Ukrainian instructors.
• Dedicated HR support.
Shield AI
Weekday (YC W21)
Roadpass Digital
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