Computer Vision Engineer

GTS Group Ltd; Lisboa; On-site; EUR 45,000 - 65,000; Full time

Job summary

A leading technology company in Lisbon is seeking a Computer Vision / Machine Learning Engineer. You will develop and deploy advanced vision models for a high-end robotics platform, manage the full ML lifecycle, and optimize models for real-world performance. Candidates should have a degree in a related field and 2–3 years of experience in computer vision and machine learning.

Qualifications

• 2–3 years of hands-on experience in computer vision, machine learning, and deep learning.
• Familiarity with both deep learning and traditional computer vision techniques.
• Understanding of lighting/camera systems for imaging in low-light or complex conditions.

Responsibilities

• Develop, train, and validate deep learning models for object detection and segmentation.
• Manage end-to-end ML lifecycle, including data collection, labeling, and deployment.
• Build and maintain ML Ops pipelines for model versioning, CI/CD, and retraining.

Skills

Python skills

TensorFlow

PyTorch

OpenCV

Team collaboration

Problem-solving

Education

Degree in ML, Computer Science, or related field

Job description

Overview

Job Title: Computer Vision / Machine Learning Engineer

Location: Lisbon, Portugal

About the Role

We’re looking for a Computer Vision / Machine Learning Engineer to develop and deploy advanced vision models for a high end robotics platform. You'll lead the full ML lifecycle—from data collection and training to deployment and performance monitoring—ensuring reliable operation in dynamic field environments.

Key Responsibilities

• Develop, train, and validate deep learning models for object detection and segmentation (e.g., soft fruit detection).
• Manage end-to-end ML lifecycle, including data collection, labelling, and deployment.
• Build and maintain ML Ops pipelines for model versioning, CI/CD, and retraining.
• Integrate models with robotic platforms and optimize for real-world performance.
• Collaborate on camera and lighting system setup to maintain accuracy in variable conditions.
• Automate workflows for model development, testing, and deployment.
• Manage large-scale datasets with reproducibility in mind.

About You

• Degree in ML, Computer Science, or related field.
• 2–3 years of hands-on experience in computer vision, machine learning and deep learning.
• Strong Python skills; proficient with TensorFlow/PyTorch, OpenCV.
• Familiarity with both deep learning and traditional computer vision techniques.
• Understanding of lighting/camera systems for imaging in low-light or complex conditions.
• Strong team collaboration and problem-solving skills.
• Strong documentation and communication skills, with the ability to work effectively in a cross-functional team environment.

Additional Details

• Seniority level: Mid-Senior level
• Employment type: Full-time