Computer Vision Engineer...

Microtech Global Ltd; Lazio; In loco; EUR 40.000 - 60.000; Tempo pieno

Descrizione del lavoro

A tech company in Rome is seeking a Computer Vision Engineer to design, validate, and optimize deep learning models for 3D reconstruction. The role emphasizes hands-on research and development, requiring a PhD and experience with deep learning techniques. Key responsibilities include algorithm development, collaboration with teams, and contribution to scientific publications. Competitive compensation and on-site working conditions are provided.

Competenze

• PhD in a related discipline required.
• Minimum of 1 year experience with deep learning applications.
• Proficiency in Python and ML libraries essential.

Mansioni

• Design and develop algorithms for 3D modeling and depth estimation.
• Communicate technical findings with team members.
• Prepare academic publications and presentations.
• Manage the end-to-end development cycle of AI models.

Conoscenze

Deep learning techniques

3D modeling

Python

Communication skills

Formazione

PhD in Computer Science, Data Science, Engineering, Mathematics

Strumenti

PyTorch

TensorFlow

NumPy

SciPy

OpenCV

Pillow

Descrizione del lavoro

Computer Vision Engineer

Rome, Italy (On-Site)

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).