Computer Vision Engineer

Vedi l’offerta su Go Lavoro: golavoro.it/annuncio-lavoro/7usyrh

We are looking for a skilled Computer Vision&Robotics; Engineer to design, develop, and deploy advanced vision-based solutions for real-world applications. You will work at the intersection of AI and robotics, building robust systems that operate reliably in production and real-time environments.

Key Responsibilities

Design, develop, and deploy computer vision models for real-world applications

Build and optimize deep learning models for tasks such as object detection, segmentation, classification, tracking, and pose estimation

Develop scalable image and video processing pipelines for both training and inference

Deploy and optimize models for real-time and edge environments, ensuring low latency and high efficiency

Integrate vision models into production systems, including automated and semi-autonomous platforms

Collaborate with cross-functional teams (software, hardware, product) to deliver end-to-end solutions

Evaluate model performance using real-world data and continuously improve accuracy, robustness, and efficiency

Stay up to date with the latest advancements in computer vision, deep learning, and applied AI

Required Qualifications

Bachelor's degree in Computer Science, Artificial Intelligence, or a related field

2+ years of hands-on experience in computer vision and deep learning





Strong programming skills in Python

Experience with deep learning frameworks such as PyTorch or TensorFlow

Solid understanding of core computer vision concepts (image processing, CNNs, feature extraction, object detection)

Experience training and deploying machine learning models in production environments

Familiarity with model optimization techniques (e.g., quantization, pruning, ONNX)

Experience working with image/video datasets and data pipelines

Strong analytical and problem-solving skills

Preferred Qualifications

Master's degree in Computer Vision, Machine Learning, or a related field

Experience with real-world or industrial AI applications

Exposure to robotics or autonomous systems

Familiarity with edge deployment or performance-constrained environments

Experience with cloud-based ML infrastructure and MLOps workflows

Nice to Have

Experience with infrastructure robustness testing to ensure system stability and reliability

Hands-on experience updating and validating software on physical robotic systems

Exposure to real-world field testing and evaluating system performance in live environments

Familiarity with end-to-end system validation, including testing under varying operating conditions

Vedi l’offerta su Go Lavoro: golavoro.it/annuncio-lavoro/7usyrh