AI/ML Engineer

Posted Sep 25

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

📋 Description

• 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.


⛳️ Requirements

• 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.


🏝️ Benefits

• 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.

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