AI/ML Engineer

This is a fully remote position, open to applicants in Georgia.

📋 Description

• Design and enhance practical computer vision systems, focusing particularly 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.

• Experiment with contemporary vision models, foundational models, and multimodal AI technologies.

• Investigate new AI methodologies and assess their potential contributions to the product.

• Swiftly develop prototypes and validate technical concepts.

• Enhance model precision, dependability, performance, and inference efficiency.

• Work with visual data to establish data preparation, training, and evaluation workflows.

• Investigate LLMs, embeddings, vision-language models, and other emerging 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 to implementation and deployment.

• Collaborate closely with the client’s team on a comprehensive platform designed for roofing professionals.

⛳️ Requirements

• 2–3 years of practical professional experience in AI/ML, computer vision, or a related field.

• Proficient in Python.

• Practical experience in developing and enhancing real-world computer vision systems.

• Solid understanding of machine learning principles.

• Hands-on experience with PyTorch or another contemporary machine learning framework.

• Familiar 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 using AI coding tools or agents for development, research, debugging, and rapid prototyping.

• Familiar with LLMs, multimodal AI, embeddings, or vision-language models.

• Strong problem-solving abilities and capacity 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.

• Experience in LiDAR, point clouds, photogrammetry, depth estimation, or 3D reconstruction is a significant plus.

• Previous experience in construction, property technology, mapping, robotics, or a similar industry is a strong plus.

• Experience deploying ML solutions in cloud environments is a strong advantage.

• Knowledge of GPU computing, inference optimization, or model performance optimization is a strong plus.

• Experience with OpenCV, C/C++, or MATLAB is a valuable asset.

🏝️ Benefits

• Security through thorough client vetting to reduce risks and ensure dependable and timely payments.

• Career support and assistance in finding new opportunities if a project does not suit your needs.

• Legal assistance regarding independent contractor or sole proprietorship status, taxes, and related processes.

• English language courses and opportunities for professional development.

• 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.