AI/ML Engineer

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

📋 Description

• Design and enhance practical computer vision systems with an emphasis on aerial image recognition.

• Create solutions that incorporate object detection, image segmentation, classification, and pattern recognition.

• Train, fine-tune, assess, and deploy computer vision and machine learning models.

• Experiment with state-of-the-art vision models, foundational models, and multimodal AI technologies.

• Investigate new AI methodologies and assess their potential value for products.

• Quickly develop prototypes and validate technical concepts.

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

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

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

• Collaborate directly with the client’s team on a comprehensive roofing technology platform.

• Function in an international setting with direct access to the co-founder, swift decision-making, minimal bureaucracy, and a culture that fosters ownership and innovation.

⛳️ Requirements

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

• Proficient in Python.

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

• Strong grasp of machine learning fundamentals.

• Practical 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.

• Familiarity 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.

• 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: prior experience in construction, property technology, mapping, robotics, or a related industry.

• Strong plus: experience deploying ML solutions within cloud environments.

• Strong plus: knowledge of GPU computing, inference optimization, or model performance optimization.

• Strong plus: experience with OpenCV, C/C++, or MATLAB.

🏝️ Benefits

• Career support and guidance in locating new opportunities.

• Legal assistance concerning independent contractor or sole proprietorship status, taxes, and associated processes.

• English language courses.

• Opportunities for professional development.

• Team-building activities.

• Flexible working hours.

• 29 days of paid time off (consisting of 18 working days per year plus all national holidays).

• 10 paid recovery days.

• Comprehensive financial and legal support for independent contractors.

• Complimentary English classes with native speakers or Ukrainian instructors.

• Dedicated HR support.

• Assurance through client vetting and reliable payment processes.