Computer Vision Engineer

Gts Group Ltd; Almada; On-site; EUR 45,000 - 70,000; Full time

Job summary

Gts Group Ltd is seeking a Computer Vision / Machine Learning Engineer in Lisbon, Portugal, to develop and deploy advanced vision models for a robotics platform. You will lead the full ML lifecycle—from data collection and training to deployment and monitoring—ensuring reliable operation in dynamic field environments.

You will train and validate models for object detection and segmentation, manage data labeling and deployment, and build robust ML pipelines.

Qualifications

• 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; experience with TensorFlow/PyTorch and OpenCV.

Responsibilities

• Develop, train, and validate deep learning models for object detection and segmentation.
• Manage end-to-end ML lifecycle from data collection to deployment and monitoring.
• Build and maintain ML Ops pipelines for 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 varying conditions.
• Automate workflows for model development, testing, and deployment.
• Handle large-scale datasets with reproducibility in mind.

Skills

Python

TensorFlow

PyTorch

OpenCV

Computer Vision

Education

Degree in ML/CS

Job description

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

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