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Our multidisciplinary team of engineers, data scientists and computer scientists works together between reciprocal exchange and personal responsibilities, each team member works for the whole, both in the office and remotely. We believe that the smart working can truly add value when balances flexibility and performance, the individual and the company.

The Oròbix team

Founders

Luca Antiga

CTO

Pietro Rota

CEO

Sales & Marketing

Diego Epis

Sales Manager

Emanuele Avolio

Sales Manager

Manuela Bazzana

Marketing & Communication

Stefano Dalla Palma

AI Business Developer

HR & ADMINISTRATION

Stefania Chieregatti

Responsabile area AFC

Flavia Pansa

Admin Specialist

Matteo Peloni

Business Controller

Andrea Abate

Operative Assistant

OPERATIONS

Antonio Salvatore Fiorentino

Delivery Manager

Angelica Vezzoli

Project Manager

Stefano Magri

Project Manager

Martina Bergamini

Junior Project Manager

GENERATIVE AI

Giuseppe D'Onofrio

Generative AI & Quality Assurance Manager

Francesco Paolo Gentile

Technical Leader

TECHNICAL AREA

Daniele Fuselli

Technical Area Leader

Federico Giuba

AI Software Developer

Franco Parodi

AI Software Developer

Luca Rota

AI Software Developer

Mattia Federici

Machine Learning Engineer

Alessia Caironi

AI Software Developer

DATA SCIENCE

Lisa Lozza

Technical Area Leader

Davide Angioni

Data Scientist

Roberta Assi

Data Scientist

Silvia Maria Bianchetti

Technical Leader – Team Vision

Refik Can Malli

Data Scientist

Leonardo Di Gangi

Data Scientist

Lorenzo Mammana

Data Scientist

Michele Milesi

Data Scientist

Enrico Spinelli

Data Scientist

Giulia Bertò

Data Scientist

Oròbix LIFE

Fabio Frangiamore

Data Scientist

Federica Moretti

Data Scientist

Paolo Litta

AI Engineer

CAREER OPPORTUNITIES

Want to bring your skills to Oròbix? Take the Oròbix challenge.

Computer Vision Engineer - Agritech Team
Oròbix is looking for a talented Computer Vision Engineer who thrives on working in the field, enjoys hands-on problem-solving, and is excited about bringing AI solutions to real-world zootechnical environments. This role requires availability for travel and a strong inclination for practical implementation.

 

As a Computer Vision Engineer, you will be at the forefront of developing cutting-edge AI solutions for the agricultural and zootechnical sectors. This role involves both research and hands-on implementation of deep learning models, with a focus on image analysis. You will actively work on-site, engaging directly with end-users and customers to ensure seamless deployment and adoption of AI-driven solutions.

 

Key responsibilities

 

  • Design, develop, and deploy computer vision models for real-world animal welfare and zootechnical applications.

  • Participate in fieldwork, testing AI solutions directly in production environments.

  • Implement algorithms into production-ready solutions and ensure their usability for customers.

  • Oversee the full AI lifecycle, from initial research and development to deployment and ongoing monitoring.

  • Collaborate closely with project managers, technicians, software developers, and end-users.

  • Continuously explore and integrate new techniques to improve AI-driven vision solutions.

 

Required Skills & Qualifications

 

  • Good software development skills and experience in languages such as Python or C++;
  • Background in image processing or computer vision
  • Familiarity with deep learning frameworks, such as PyTorch, Keras, TensorFlow, etc
  • Practical experience contributing to a code base with code versioning systems such as Git.
  • Strong problem-solving skills and the ability to translate AI research into practical applications.
  • Fluency in English
  • Fluency in Italian
  • Willingness to travel and work directly in zootechnical settings.
  • At least 1 or 2 years of relevant work experience.
  • M. Sc. in Computer Science or similar.

 

Preferred qualifications (Nice to Have)

 

  • Prior experience deploying computer vision models in agriculture or zootechnical fields.
  • Interest in animal welfare, precision farming, and livestock monitoring.
Application







    Software Developer
    Oròbix is looking for a Software Developer to join our Software Development Team.

     

    The Resource will be responsible for the design, development and deployment of high-quality software solutions, innovative, performing and comply to the technical standards of software development, that leverage AI solutions crafted by our Data Science Team, to solve challenging problems in the industrial and medical domains.

    The Candidate will focus on bringing to production AI algorithms, while ensuring their robustness and reliability for end-customers. He/She will practice state-of-the-art software development best-practices and principles that will allow to build increasingly complex – and capable – intelligent systems. He/She will also have the chance to contribute to the advancements of state-of-the-art machine learning tools & techniques, collaborating with external partners and research centers, operating in the domain.

    The ideal candidate for this position is a hands-on, passionate person who enjoys fast-paced development cycles spanning from research to production in the order of months. He/She is familiar with the software development life cycle (SDLC), from preliminary system analysis to testing and deployment.

    The position will require travel for deployments and field-testing.

     

    Your role and responsibilities
    • You will be responsible for collecting stakeholders requirements and defining the functionality of the system;
    • You will write the code in various languages such as C ++ or Python;
    • You will have the chance to work with cutting-edge technologies for Software Development and Artificial Intelligence;
    • You will be responsible for writing industry-ready software solutions that leverage Artificial Intelligence for image and data-processing;
    • You will collaborate with the end-customers to solve real problems in the industrial manufacturing and medical domains.

     

    Required Skills
    • Experienced in at least one OO programming language (C/C++ or Python preferred);
    • Solid knowledge of GIT as a Version Control System;
    • Experience with SQL and noSQL databases;
    • Experienced in working with Docker and Docker-compose, to write and deploy containerized applications;
    • Previous experience with Linux-based operating systems, from their setup and initial configuration to operation and maintenance;
    • Experienced in working on-the-field with the end customers: from the conception of the solution, up to its final deployment in-production;
    • Knowledge of the Software Development LifeCycle principles and best practices.

     

    The Following Are Considered a Plus
    • Knowledge of numerical programming software packages (such as Numpy / Matlab / R);
    • Knowledge of image & signal processing algorithms;
    • Knowledge in Deep Learning / Machine Learning Algorithms.

     

    Seniority

    2+ years of professional experience in the software development domain

     

    Education

    M. Sc. in Computer Science

     

    Our Methodology:

    Agile, Daily Standup Meetings, Biweekly technical reviews on the product.

    Our Tech Stack:

    HTML, CSS, Javascript, Typescript, React, Redux, REST, Docker, Docker-compose.


     

    Our benefits
    • Smart Working: we believe in the right balance between office presence and remote work. Today, we embrace the formula 3 days in the office + 2 days of smart working
    • Full-time permanent contract
    • Meal vouchers for each day of office presence
    • Multi-cultural, supportive, inclusive and friendly working environment
    • Awesome community of open-minded professionals, environment boosting the development of your technical and soft skills
    • Your influence on product stack, solutions and work-frame
    • Short and fast decision-making due to flat hierarchy
    • Great office space located in Bergamo, Travagliato (BS), Rovereto (TN)

     

    3-steps hiring process
    1. Interview with the Technical Leader (1 hour)
    2. HR Interview (1 hour)
    3. Interview with the Founders (Pietro & Luca – 1 hour)

     

    FAQ

    Why is this position open?
    Oròbix is growing. Come grow with us! We are expanding the team due to increasing customer base and feature requests for our AI solutions.

    How will I know my performance at work?
    We use a consolidated performance management system that provides feedback on what is doing well and what can be done better or differently.We set shorter-term goals tracked transparently with periodically feedback and alignment on your progress.

    I am not currently working in the Artificial Intelligence sector, but I would like to work at Oròbix.
    At Oròbix, we embrace diversity. We encourage everyone to apply for our job openings, no matter who you are or what your background is. So if your profile is in line with the competencies requested in our job opportunities, please feel free to apply. We have opportunities in software development, data science and sales areas.

    How is the work and life balance at Oròbix?
    At Oròbix, we’re committed to flexible workplace policies. We are testing and developing working tools and a new organisational set-up to make a real and permanent change in the way we work. We believe that the smart working can truly add value when balances flexibility and performance, the individual and the company.

    I still have some questions that I need answers to. How can I get in touch?
    You can always send questions related to the recruitment process to recruiting@orobix.com.

    Application







      ORÒBIX EDU

      We like to focus on young talent, allowing them to get involved as they try their hand at Artificial Intelligence.

      We organize meet ups, hackathons and other training activities that are built around concrete methodology and knowledge sharing.
      Open source is dear to us; it is the work we do, with and for others.
      We host high school students in study programs for machine learning coding projects, and university students for apprenticeships or thesis projects relating to artificial intelligence and R&D.