Customer-Facing Ai Engineer: Full-Stack & Ml

Happyrobot; Barcelona; Híbrido; EUR 70.000 - 100.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Hybrid work model

Professional development support

Advanced computing resources

Competitive compensation and benefits

Descripción de la vacante

Happyrobot Barcelona is seeking a Machine Learning Engineer specializing in Computer Vision to join a dynamic team in a hybrid work setup. You will design, train, and deploy cutting-edge CV models powering innovative applications.

In this role, you will work with senior AI professionals, optimize models for performance, and contribute to the ML infrastructure while staying current with CV/ML research trends, ensuring high-impact visual intelligence projects.

Formación

• Master's or Ph.D. in CS/EE with ML or CV focus.
• Proven experience deploying CV models with TensorFlow, PyTorch, or Keras.
• Strong Python programming skills.
• Experience with OpenCV and image processing tools.
• Experience with data augmentation, evaluation, and tuning.
• Knowledge of Git and software development best practices.

Responsabilidades

• Design, train, and optimize deep learning models for image recognition, object detection, and video analysis.
• Implement state-of-the-art architectures for vision tasks.
• Process large-scale image/video datasets.
• Optimize inference speed across platforms.
• Collaborate with software engineers to deploy models in production.
• Benchmark models and report results to the team.
• Stay updated with CV/ML research trends.
• Contribute to ML infrastructure design and architecture.

Conocimientos

Python

Deep learning

Computer Vision

TensorFlow

PyTorch

Keras

OpenCV

Data augmentation

Model deployment

Educación

Master's or PhD in CS/EE with ML/CV focus

Herramientas

Git

Docker

Jupyter

CI/CD

Descripción del empleo

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.