Computer Vision Engineer

Alstom; l'Hospitalet de Llobregat; Hybrid; EUR 50,000 - 85,000; Full time

Benefits offered by this job

Hybrid work model

Competitive salary and benefits

Challenging AI projects

Access to advanced computing resources

Continuous learning opportunities

Dynamic and innovative culture

Job summary

Alstom in Barcelona is seeking a talented Machine Learning Engineer specializing in Computer Vision to join a dynamic AI team. This hybrid role blends remote flexibility with in-office collaboration to build and deploy advanced CV models powering innovative applications.

You will design, train, and optimize deep learning models for image recognition, object detection, and video analysis, working with state-of-the-art frameworks and cloud platforms.

Qualifications

• Master's or PhD in CS/EE with a ML/CV focus
• Proven experience developing and deploying CV models with TF/PyTorch/Keras
• Strong Python programming skills
• Familiarity with OpenCV and image processing tools
• Experience with data augmentation, model evaluation, and hyperparameter tuning
• Understanding of software development practices including Git
• Experience with cloud platforms is a plus

Responsibilities

• Develop, train, and deploy ML models for CV tasks (image classification, object detection, segmentation)
• Implement and experiment with state-of-the-art deep learning architectures for vision
• Process and analyze large-scale image and video datasets
• Optimize model performance for inference speed and accuracy on various platforms
• Collaborate with software engineers to integrate ML models into production
• Evaluate and benchmark model performance, reporting findings to the team
• Stay current with CV/ML research trends and advancements
• Contribute to the design and architecture of ML infrastructure

Skills

Python programming

Analytical thinking

Problem solving

Communication

Education

Master's or Ph.D. in Computer Science / Electrical Engineering with ML/CV focus

Tools

TensorFlow

PyTorch

Keras

OpenCV

Scikit-learn

Git

AWS / Azure / GCP

Job description

About the Role Our client, a dynamic company operating in the realm of Artificial Intelligence and Emerging Technologies, is looking for a talented Machine Learning Engineer with a specialization in Computer Vision to join their team in Barcelona. This role offers a hybrid work model, combining remote flexibility with essential in-office collaboration. You will be instrumental in developing and deploying advanced computer vision models that power innovative applications. Responsibilities include designing, training, and optimizing deep learning models for tasks such as image recognition, object detection, and video analysis. This is an exciting opportunity to contribute to cutting‑edge projects, work alongside a team of skilled AI professionals, and shape the future of visual intelligence technology. We encourage innovation and provide a platform for continuous learning and professional growth.

Key Responsibilities

• Develop, train, and deploy machine learning models for computer vision tasks (e.g., image classification, object detection, segmentation).
• Implement and experiment with state-of-the-art deep learning architectures for vision tasks.
• Process and analyze large-scale image and video datasets.
• Optimize model performance for inference speed and accuracy on various platforms.
• Collaborate with software engineers to integrate ML models into production systems.
• Evaluate and benchmark model performance, reporting findings to the team.
• Stay current with research trends and advancements in computer vision and machine learning.
• Contribute to the design and architecture of our ML infrastructure.

Requirements

• Master's or Ph.D. in Computer Science, Electrical Engineering, or a related field with a focus on Machine Learning or Computer Vision.
• Proven experience in developing and deploying computer vision models using frameworks like TensorFlow, PyTorch, or Keras.
• Strong programming skills in Python.
• Familiarity with libraries such as OpenCV, Scikit-learn, and image processing tools.
• Experience with data augmentation, model evaluation, and hyperparameter tuning.
• Understanding of software development best practices, including version control (Git).
• Excellent analytical and problem-solving abilities.
• Effective communication skills for collaborating within a hybrid team environment.
• Experience with cloud platforms (AWS, Azure, GCP) is a plus.

Benefits

• Hybrid work model offering flexibility and in-person collaboration.
• Competitive salary and benefits package.
• Opportunity to work on challenging and impactful AI projects.
• Access to advanced computing resources and tools.
• Continuous learning opportunities and professional development support.
• Dynamic and innovative company culture.