COMPUTER VISION ENGINEER

Settore: / Engineering /
Azienda: Adecco Italia Spa
Data annuncio: 22/07/2022
Sede di lavoro: Lecce

Introduction

The Computer Vision Engineer will be included within a team that deals with the development of proof-of-concept and vertical solutions of high technological value. It will independently face problems in the Computer Vision, Machine Learning, Deep Learning fields by using specific on-premises open solutions. He will have the chance to research, develop and train Neural Networks and to work with specific HW solutions. He will have the opportunity to use multiple programming languages, frameworks and tools on frontier technologies with an approach that encourages the freedom to study and experiment.
Education and Professional Experience:
• Bachelor or Master degree in Computer Science or Computer Engineering.
Required Technical and Professional Expertise
• Experience in digital image processing (OpenCV)
• Experience in CV algorithms for video/image processing (such as image formation, image processing, feature detection and matching, segmentation, image alignment, structure from motion, motion estimation)
• Knowledge and experience in the techniques of implementation and training of neural networks
• Skills in C / C ++ and Python
• NVidia CUDA
Nice to have
• Knowledge of Deep Learning (CNN) and frameworks such as TensorFlow or Caffè, PyTorch
Your Role and Responsibilities
We are looking for people to design, develop and support algorithm process transformation, writing code and testing algorithm performance. You will in charge of:
• Develop and research effective CV algorithms
• Develop and implement Machine Learning / Deep Learning algorithms
• Develop C ++ / Python applications for CV
• Processing, detection and recognition of objects and faces, detection of emotions, model research, scene analysis, concept recognition

The role is based in Lecce

Categoria Professionale: Ingegneria / Ricerca e Sviluppo / Laboratorio

Città: Lecce (Lecce)

Disponibilità oraria:



  • Full Time
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