
AI/ML Engineer
Posted 1 day ago

Posted 1 day ago
This is a fully remote position, open to applicants in Bulgaria.
• Enhance the client's capabilities in computer vision, particularly in aerial image recognition.
• Develop solutions that incorporate object detection, image segmentation, classification, and pattern recognition.
• Train, fine-tune, assess, and implement 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 benefits for the product.
• Rapidly create prototypes and validate innovative technical concepts.
• Enhance model accuracy, reliability, performance, and inference efficiency.
• Work with visual data to create 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 responsibility for technical challenges from initial research through to implementation and deployment.
• 2–3 years of practical professional experience in AI/ML, computer vision, or a closely related domain.
• Proficient in Python programming.
• Hands-on experience in constructing and refining real-world computer vision systems.
• Strong grasp of machine learning principles.
• Practical experience with PyTorch or another contemporary machine learning framework.
• Experience in object detection, image segmentation, classification, and pattern recognition.
• Experience in training, fine-tuning, evaluating, and deploying ML models.
• Familiarity with modern computer vision models and foundational models.
• Experience utilizing AI coding tools or agents for development, research, debugging, and rapid prototyping.
• Familiarity with LLMs, multimodal AI, embeddings, or vision-language models.
• Strong analytical skills and the ability to tackle open-ended technical challenges.
• Capability to swiftly transition from an idea or hypothesis to a functional 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 sector.
• Strong plus: experience deploying ML solutions in cloud environments.
• Strong plus: knowledge of GPU computing, inference optimization, or model performance enhancement.
• Strong plus: experience with OpenCV, C/C++, or MATLAB.
• Security through client vetting to minimize risks and ensure reliability and timely payments.
• Career support and assistance in finding new opportunities if a project is not the right fit.
• Legal assistance regarding independent contractor or sole proprietorship status, taxes, and related processes.
• English language courses.
• Opportunities for professional growth.
• Team-building events.
• 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.
Quora
Amgen
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