Machine Learning Engineer – Computer Vision

Description

As a Machine Learning Engineer – Computer Vision, you will design and develop state-of-the-art computer vision models that transform visual and spatial data into actionable insights. Your work will focus on building robust AI systems capable of understanding images, documents, and spatial data used in infrastructure and construction workflows.

Within the Innovation Team, you will collaborate with engineers, researchers, and product teams to identify opportunities where computer vision can drive meaningful innovation. You will also play a key role in translating experimental models into scalable, production-ready solutions that can be integrated into enterprise platforms.

Key Responsibilities

• Design, train, and evaluate computer vision models for detection, segmentation, classification, and image understanding.
• Leverage pre-trained models and optimize deep learning architectures for real-world applications.
• Apply generative image models, including diffusion-based approaches, to enhance visual data processing.
• Translate research prototypes into robust and scalable production systems.
• Prepare and curate datasets, perform benchmarking, and evaluate model performance.
• Collaborate with cross-functional teams to integrate computer vision capabilities into products and services.
• Contribute to innovation initiatives addressing challenges such as document vectorization and point cloud data processing.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
• Strong expertise in computer vision and deep learning.
• Hands-on experience with frameworks such as PyTorch or TensorFlow, as well as tools like OpenCV.
• Experience working with CNN architectures and generative models, including diffusion-based techniques.
• Knowledge of model optimization, evaluation metrics, and MLOps practices.
• Ability to translate experimental models into reliable production solutions.
• Strong analytical and problem-solving skills with a positive, solution-oriented mindset.
• Good communication and collaboration skills.

Benefits

• Almost full remote, 1 day per week in the office (close to Allee Shopping Mall)
• Opportunity to work on cutting-edge AI technologies in computer vision and deep learning.
• Participation in a high-impact innovation team driving AI initiatives in construction technology.
• Collaborative, research-oriented work environment.
• Long-term, stable employment in a full-time permanent role.
• Opportunities for professional growth and involvement in pioneering AI projects.