Senior Machine Learning Engineer – Computer Vision

Vexcel Spain; Málaga; Híbrido; EUR 50.000 - 70.000; Jornada completa

Descripción de la vacante

A leading geospatial technology company in Málaga seeks a Senior Machine Learning Engineer to develop advanced computer vision models. Ideal candidates will have deep learning expertise, proficiency in Python and PyTorch, and experience with geospatial data. This role offers flexible working options, competitive salary, and a collaborative environment focused on innovative solutions.

Servicios

Health insurance

Meals

Training

Childcare

Formación

• 4+ years of experience in deep learning applied to computer vision.
• Proficiency in Python and PyTorch.
• Solid understanding of CNNs and object detection processes.
• Experience with modern architectures like Vision Transformers.

Responsabilidades

• Develop and deploy deep learning models for image tasks.
• Optimize model performance and workflows for scalability.
• Work with large-scale image datasets and GIS tools.
• Ensure reproducibility and compliance in model processes.

Conocimientos

Deep learning

Computer vision

Python

PyTorch

Geospatial data

MLOps

Herramientas

NVIDIA Triton

PostgreSQL

GeoPandas

Descripción del empleo

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 seek 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.

Responsibilities: Machine 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.

Qualifications & Required 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 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 experience.
• 100% remote, hybrid, or on-site work (Alcorcón, Madrid), your choice.
• Flexible compensation :
• Health insurance
• Meals
• Training
• Childcare
• Challenging and rewarding environment.
• Part of a multinational company in expansion.
• Access to a vast amount of data for your projects.

You will work with real problems from day one, with responsibility and freedom to execute.

About Us

Vexcel, founded in 1992 in Graz (Austria), is a global leader in 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 large aerial imagery programs, processing and delivering ultra-high-resolution images at scale, managing hundreds of petabytes of data annually. Our technology supports diverse applications, from insurance to environmental monitoring. Learn more at vexceldata.com.

We are a multidisciplinary team focused on solving real-world problems through visual intelligence and cutting-edge AI. We work with advanced imaging systems (e.g., UltraCam), and our infrastructure combines high-performance computing with rigorous engineering. Our mission is to develop scalable, high-impact solutions bridging 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 datasets, take ownership of impactful projects, and contribute to systems operating at a global scale. If 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.