AI/ML Engineer

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

📋 Description

• Design and enhance practical computer vision systems, emphasizing aerial image recognition.

• Develop 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 contemporary vision models, foundational models, and multimodal AI technologies.

• Investigate innovative AI methodologies and assess their potential impact on the product.

• Quickly create prototypes and validate technical concepts.

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

• Handle visual data and construct data preparation, training, and evaluation pipelines.

• Investigate LLMs, embeddings, vision-language models, and other cutting-edge AI technologies.

• Utilize AI coding tools and agents to enhance development, research, debugging, and prototyping.

• Identify opportunities for AI to enhance the overall product and user experience.

• Assume responsibility for technical challenges from initial research to implementation and deployment.

• Collaborate directly with the client’s team in an international setting.

⛳️ Requirements

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

• Proficient in Python.

• Demonstrated experience in developing and enhancing practical computer vision systems.

• Solid understanding 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 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 navigate open-ended technical challenges.

• Ability to swiftly transition from an idea or hypothesis to a functional prototype.

• Experience working with aerial, satellite, drone, or geospatial imagery.

• Proficiency with LiDAR, point clouds, photogrammetry, depth estimation, or 3D reconstruction.

• Previous experience in construction, property technology, mapping, robotics, or a related field.

• Experience deploying ML solutions in cloud-based environments.

• Knowledge of GPU computing, inference optimization, or model performance enhancement.

• Familiarity with OpenCV, C/C++, or MATLAB.

🏝️ Benefits

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

• Career support and guidance in finding new opportunities if a project does not align well.

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

• English language courses.

• 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.