Control mediante visión e IA para mejora de calidad

About the role

The position is responsible for creating and refining vision‑based control solutions that leverage artificial intelligence to enhance product quality and ensure geometric tolerance compliance. The work involves developing new algorithms, improving existing ones, and optimizing the overall vision inspection process.

Key responsibilities

• Develop new vision‑arc control algorithms using Python, focusing on accurate detection of geometric features and integration of AI models.
• Ensure the reliability of current vision control modules by performing code reviews, debugging, and systematic validation.
• Optimize the vision arc performance to reduce cycle time, increase detection precision, and support continuous quality improvement.
• Collaborate with engineering and quality teams to align vision system outputs with production requirements and documentation standards.

Required profile

• Proven experience in computer vision or related image‑processing domains.
• Familiarity with AI techniques applied to visual data, such as machine learning or deep learning models.
• Capability to work autonomously on algorithm development, testing, and deployment.

Required skills

• Python programming.

What we offer

• Engagement in innovative AI‑driven vision projects with measurable impact on quality control.
• Collaborative environment that encourages technical growth and knowledge sharing.