AI/ML Engineer

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

📋 Description

• Design and enhance practical computer vision systems, particularly focusing on aerial image recognition.

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

• Train, refine, assess, and deploy machine learning and computer vision models.

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

• Investigate new AI methodologies and assess their potential benefits for the product.

• Quickly develop prototypes and validate technical concepts.

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

• Work with visual data to create effective data preparation, training, and evaluation pipelines.

• Investigate the application of LLMs, embeddings, vision-language models, and other cutting-edge 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 through to implementation and deployment.

• Collaborate directly with the client’s team on an integrated platform for roofing professionals.

⛳️ Requirements

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

• Proficient in Python programming.

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

• Solid understanding of the fundamentals of machine learning.

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

• Familiarity with object detection, image segmentation, classification, and pattern recognition techniques.

• Experience in training, fine-tuning, evaluating, and deploying machine learning 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.

• Capability to quickly transition from an idea or hypothesis to a functioning prototype.

• Experience with aerial, satellite, drone, or geospatial imagery is a significant advantage.

• Experience with LiDAR, point clouds, photogrammetry, depth estimation, or 3D reconstruction is highly desirable.

• Background in construction, property technology, mapping, robotics, or a related industry is a strong asset.

• Experience deploying machine learning solutions in cloud environments is an added advantage.

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

• Familiarity with OpenCV, C/C++, or MATLAB is a significant advantage.

🏝️ Benefits

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

• Career support and help in discovering new opportunities.

• Legal assistance regarding 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 lessons with native speakers or Ukrainian instructors.

• Dedicated HR support.