Senior CV & ML Engineer - Hybrid, Real-World Retail AI

Sensei; Lisboa; Híbrido; EUR 70 000 - 100 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Health Insurance

Hybrid Working Model

5 extra days off per year on top of 22

Resumo da oferta

Sensei is seeking a highly qualified Computer Vision and Machine Learning Engineer in Lisbon to design and implement advanced AI methods for autonomous retail analytics. You will work on image and video understanding, detection, tracking, and real‑time processing, applying CNNs, transformers, and deep learning techniques.

You will collaborate with engineers across teams, stay current with CV/ML state‑of‑the‑art, and contribute to production deployments within a privacy‑driven platform.

Qualificações

• Ph.D. or MSc plus 5 years of relevant experience in computer science, computer vision, machine learning, applied mathematics, or a related field, or equivalent professional experience.
• Demonstrated scientific excellence with peer‑reviewed publications and conference presentations.
• Strong background in CV sub‑disciplines: image analysis, object recognition, feature detection, segmentation, tracking.
• Experience with real‑world data in CV/ML contexts.

Responsabilidades

• Research and propose new computer vision algorithms for retail problems.
• Implement, debug, and validate new algorithms.
• Improve current methods and deploy new solutions.
• Work on object detection, classification, tracking, and action recognition.

Conhecimentos

Python

English (oral/written)

OpenCV

PyTorch

TensorFlow

TensorRT

MATLAB

C/C++

Machine learning

Computer vision

Formação académica

Ph.D. or MSc + 5 years experience in CS/CV/ML

Ferramentas

OpenCV

MLOps

PyTorch

TensorFlow

TensorRT

MATLAB

Descrição da oferta de emprego

Sensei is seeking a highly qualified Computer Vision and Machine Learning Engineer in Lisbon to design and implement advanced AI methods for autonomous retail analytics. You will work on image and video understanding, detection, tracking, and real‑time processing, applying CNNs, transformers, and deep learning techniques.

You will collaborate with engineers across teams, stay current with CV/ML state‑of‑the‑art, and contribute to production deployments within a privacy‑driven platform.