Computer Vision Engineer

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.

• 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.

• 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.