AI/ML Engineer

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

📋 Description

• Design and enhance practical 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 deploy 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 value for products.

• Quickly develop prototypes and validate technical concepts.

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

• Manage visual data and establish data preparation, training, and evaluation pipelines.

• Research LLMs, embeddings, vision-language models, and upcoming 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 in an international setting.

⛳️ Requirements

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

• Proficient in Python programming.

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

• Strong grasp of machine learning principles.

• Practical experience with PyTorch or another contemporary machine learning framework.

• Background in object detection, image segmentation, classification, and pattern recognition.

• Experience in training, fine-tuning, assessing, 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.

• Understanding of LLMs, multimodal AI, embeddings, or vision-language models.

• Excellent problem-solving abilities and the capacity to tackle open-ended technical challenges.

• Ability to swiftly transition from concepts or hypotheses to functional prototypes.

• Strong advantage: experience with aerial, satellite, drone, or geospatial imagery.

• Strong advantage: experience with LiDAR, point clouds, photogrammetry, depth estimation, or 3D reconstruction.

• Strong advantage: previous experience in construction, property technology, mapping, robotics, or a related sector.

• Strong advantage: experience deploying ML solutions in cloud environments.

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

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

🏝️ Benefits

• Security: Carefully vetted clients to reduce risks and ensure reliability and timely payments.

• Career support and assistance in discovering new opportunities.

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

• English language courses.

• Opportunities for professional growth.

• 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 with native speakers or Ukrainian instructors.

• Dedicated HR support.