Computer Vision Engineer

Microtech Global Ltd; Latina; In loco; EUR 45.000 - 70.000; Tempo pieno

Descrizione del lavoro

A leading technology firm in Italy is seeking a skilled professional to design and optimize deep learning models for 3D reconstruction. This hands-on research and development role values creativity, technical expertise, and a solid academic background. Applicants should hold a PhD in a relevant field, possess at least one year of experience in deep learning, and be proficient in Python and related libraries. Competitive compensation is offered, along with the opportunity to contribute to innovative agricultural solutions.

Competenze

• Minimum 1 year experience with deep learning-based dense depth estimation and 3D reconstruction or SLAM.
• Strong analytical skills to improve algorithms for 3D modeling and depth estimation.

Mansioni

• Design, develop, and improve algorithms for 3D modeling and depth estimation.
• Communicate technical findings effectively with team members.
• Support the preparation of academic publications and presentations.
• Manage the end-to-end development cycle of AI models and software components.

Conoscenze

Deep learning

3D modeling

Collaboration

Technical documentation

Data analysis

Formazione

PhD in Computer Science, Data Science, Engineering, Mathematics, or related discipline

Strumenti

Python

PyTorch

TensorFlow

NumPy

SciPy

OpenCV

Pillow

Descrizione del lavoro

Role Overview

You will be involved in designing, validating, and optimizing deep learning models for 3D reconstruction , with direct application to real-world challenges in agriculture. This is a hands-on research and development position where creativity, technical expertise, and scientific rigor are equally valued.

Key Responsibilities

• Research & Development : Design, develop, and improve algorithms for 3D modeling and depth estimation using deep learning techniques.
• Collaboration : Communicate technical findings effectively with team members through documentation, code reviews, and meetings.
• Scientific Contribution : Support the preparation of academic publications and presentations for conferences in the field.
• Project Execution : Manage the end-to-end development cycle — from prototyping and testing to deployment and iteration — of AI models and software components.

Required Qualifications

• PhD in Computer Science, Data Science, Engineering, Mathematics, or a related discipline.
• Minimum of 1 year experience with deep learning-based dense depth estimation and 3D reconstruction or SLAM (Simultaneous Localization and Mapping)
• Proficiency in Python and popular ML / data processing libraries (e.g., PyTorch, TensorFlow / Keras, NumPy, SciPy, OpenCV, Pillow).