
AI/ML Engineer
Posted 2 days ago

Posted 2 days ago
This is a fully remote position, open to applicants in Moldova.
• Design and enhance practical computer vision systems, with an emphasis on aerial image recognition.
• Create solutions that involve object detection, image segmentation, classification, and pattern recognition.
• Train, refine, assess, and deploy computer vision and machine learning models.
• Explore contemporary vision models, foundational models, and multimodal AI technologies.
• Investigate new AI methodologies and appraise their potential value for products.
• Quickly develop prototypes and validate technical concepts.
• Enhance model accuracy, reliability, performance, and inference efficiency.
• Engage with visual data and establish data preparation, training, and evaluation pipelines.
• Investigate LLMs, embeddings, vision-language models, and other innovative AI technologies.
• Utilize AI coding tools and agents to expedite development, research, debugging, and prototyping.
• Identify opportunities for AI to enhance overall product quality and user experience.
• Take ownership of technical challenges from initial research to implementation and deployment.
• Collaborate directly with the client’s team in a global setting.
• 2–3 years of relevant professional experience in AI/ML, computer vision, or a closely related domain.
• Proficient in Python programming.
• Practical experience in building and enhancing real-world computer vision systems.
• Strong grasp 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, assessing, 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 quick prototyping.
• Familiarity with LLMs, multimodal AI, embeddings, or vision-language models.
• Strong problem-solving abilities and capability to tackle open-ended technical challenges.
• Ability to swiftly transition from an idea or hypothesis to a functioning prototype.
• Experience with aerial, satellite, drone, or geospatial imagery is highly advantageous.
• Background in LiDAR, point clouds, photogrammetry, depth estimation, or 3D reconstruction is a significant plus.
• Previous exposure to construction, property technology, mapping, robotics, or a similar sector is a strong benefit.
• Experience in deploying ML solutions within cloud environments is an added advantage.
• Knowledge of GPU computing, inference optimization, or enhancing model performance is a substantial plus.
• Familiarity with OpenCV, C/C++, or MATLAB is a significant advantage.
• 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 language classes, with native speakers or Ukrainian instructors.
• Dedicated HR support.
• Security through client vetting and reliable payment systems.
• Career guidance and assistance in exploring new opportunities.
• Legal advice on contractor or sole proprietorship status, taxes, and related processes.
• Opportunities for professional development.
• Team-building activities.
Shield AI
Weekday (YC W21)
Roadpass Digital
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