Senior Machine Learning Engineer (Remote)

We are looking for a Senior Machine Learning Engineer – Computer Vision to join our team and help us tackle complex visual understanding tasks using deep learning. This role is ideal for someone with a strong background in image analysis, object detection, segmentation, and classification, and who thrives in a collaborative, agile environment.

The ideal candidate combines solid software engineering skills with deep expertise in modern computer vision techniques. Experience with PyTorch is essential, as is familiarity with advanced architectures such as Transformers, Foundation Models, and Vision-Language Models (VLMs). Hands-on experience deploying optimized models in on-premise high-performance environments is highly valued. Our infrastructure processes data at petabyte scale, so attention to performance and scalability is critical.

Analyze model performance and iterate to achieve production-grade results.

• Software Engineering & MLOps
• Write clean, modular, and well-documented Python code.
• Build and maintain training and deployment pipelines.
• Integrate models into production systems using best practices.
• Follow agile development (SCRUM) and CI / CD workflows.

Data & Infrastructure

Proficiency in Python and PyTorch.

Position Details

You will be part of a Machine Learning / Computer Vision team with access to a vast amount of data to carry out your projects. About Us : Vexcel, founded in 1992 in Graz (Austria), is a global leader in the geospatial industry with over 30 years of experience in photogrammetry, remote sensing, and aerial imaging. We power the world’s largest aerial imagery program, capturing, processing, and delivering ultra-high-resolution images at scale, with hundreds of petabytes of data generated annually. Our technology supports applications from insurance and emergency response to smart city planning and environmental monitoring.

If you're passionate about innovation, performance, and applying AI to geospatial challenges, we want to hear from you.

All qualified applicants will be considered without regard to race, religion, gender identity, sexual orientation, age, or disability status.

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