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.
We are seeking someone with great attention to detail and rigor, who understands the importance of clean code, reproducible ML workflows, and thoughtful experimentation. Curiosity and a desire to continuously learn and grow are essential, as is the ability to communicate clearly and effectively within a collaborative team environment.
·Develop and deploy deep learning models for object detection, segmentation, and image classification.
·Leverage state-of-the-art architectures including Vision Transformers, Foundation Models, and VLMs.
·Design and execute experiments, ensuring reproducibility and scientific rigor.
·Analyze model performance and iterate to achieve production-grade results.
·Optimize inference pipelines for efficiency and scalability.
Software Engineering & MLOps
·Write clean, modular, and well-documented Python code.
·Contribute to code reviews, pull requests, and team knowledge sharing.
·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
·Work with large-scale image datasets, including geospatial data.
·Use GIS tools and libraries (GeoPandas, rasterio, etc.) when needed.
·Deploy and serve models on on-premise infrastructure using NVIDIA Triton for high-performance inference.
·Ensure compliance, reproducibility, and scalability in data and model workflows.
QualificationsRequired Skills
·4+ years of experience in deep learning applied to computer vision.
·Proficiency in Python and PyTorch.
·Solid understanding of CNNs, object detection, segmentation, classification pipelines.
·Experience working with Vision Transformers, Foundation Models, or multimodal architectures.
·Familiarity with MLOps tools.
·Experience in agile environments with team-based development (SCRUM, pull requests, code reviews).
·Strong attention to detail and a methodical, results-driven mindset.
·Professional proficiency in English.
·Ability to work in a multicultural team.
Preferred Skills
·Experience with GIS and geospatial data processing.
·Experience deploying models in on-premise and AWS.
·Experience with large-scale datasets and model optimization techniques.
·Experience with databases, preferably PostgreSQL, at a developer level.
What we offer:
·Salary based on the candidate's experience.
·100% remote, hybrid, or on-site work (Alcorcón, Madrid), the candidate chooses the mode.
·Childcare
·Challenging and rewarding environment
·You will be part of a multinational company in full expansion.
·You will be part of a Machine Learning/Computer Vision team with access to a vast amount of data to carry out your projects.
You will work with real problems from day one, with the responsibility and freedom to carry them out.
About Us
Job Description
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.
We are seeking someone with great attention to detail and rigor, who understands the importance of clean code, reproducible ML workflows, and thoughtful experimentation. Curiosity and a desire to continuously learn and grow are essential, as is the ability to communicate clearly and effectively within a collaborative team environment.
ResponsibilitiesMachine Learning & Computer Vision
·Develop and deploy deep learning models for object detection, segmentation, and image classification.
·Leverage state-of-the-art architectures including Vision Transformers, Foundation Models, and VLMs.
·Design and execute experiments, ensuring reproducibility and scientific rigor.
·Analyze model performance and iterate to achieve production-grade results.
·Optimize inference pipelines for efficiency and scalability.
Software Engineering & MLOps
·Write clean, modular, and well-documented Python code.
·Contribute to code reviews, pull requests, and team knowledge sharing.
·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
·Work with large-scale image datasets, including geospatial data.
·Use GIS tools and libraries (GeoPandas, rasterio, etc.) when needed.
·Deploy and serve models on on-premise infrastructure using NVIDIA Triton for high-performance inference.
·Ensure compliance, reproducibility, and scalability in data and model workflows.
QualificationsRequired Skills
·4+ years of experience in deep learning applied to computer vision.
·Proficiency in Python and PyTorch.
·Solid understanding of CNNs, object detection, segmentation, classification pipelines.
·Experience working with Vision Transformers, Foundation Models, or multimodal architectures.
·Familiarity with MLOps tools.
·Experience in agile environments with team-based development (SCRUM, pull requests, code reviews).
·Strong attention to detail and a methodical, results-driven mindset.
·Professional proficiency in English.
·Ability to work in a multicultural team.
Preferred Skills
·Experience with GIS and geospatial data processing.
·Experience deploying models in on-premise and AWS.
·Experience with large-scale datasets and model optimization techniques.
·Experience with databases, preferably PostgreSQL, at a developer level.
What we offer:
·Permanent full-time position.
·Salary based on the candidate's experience.
·100% remote, hybrid, or on-site work (Alcorcón, Madrid), the candidate chooses the mode.
·Flexible compensation:
·Health insurance
·Meals
·Training
·Childcare
·Challenging and rewarding environment
·You will be part of a multinational company in full expansion.
·You will be part of a Machine Learning/Computer Vision team with access to a vast amount of data to carry out your projects.
You will work with real problems from day one, with the responsibility and freedom to carry them out.
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. With offices in Graz, Centennial (USA), and Madrid (Spain), 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 a wide range of applications, from insurance and emergency response to smart city planning and environmental monitoring. Learn more at vexceldata.com.
You’ll join a multidisciplinary team focused on solving real-world problems through visual intelligence and cutting-edge AI. We work with some of the most advanced imaging systems on the market (e.g., UltraCam), and our image processing infrastructure combines high-performance computing with rigorous engineering. Our mission is to develop scalable, high-impact solutions that bridge the gap between raw data and actionable insights.
At Vexcel, we foster a culture of technical excellence, autonomy, and continuous learning. You’ll have the opportunity to work with massive, real-world datasets, take ownership of impactful projects from day one, and contribute to systems that operate at global scale. If you're passionate about innovation, performance, and applying AI to geospatial challenges, we want to hear from you.
Equal Opportunity Statement
We are an equal opportunity employer. All qualified applicants will be considered without regard to race, religion, gender identity, sexual orientation, age, or disability status.
Seniority level
* Seniority level
Mid-Senior level
Employment type
* Employment type
Full-time
Job function
* Job function
Engineering and Information Technology
* Industries
Software Development
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