Senior Artificial Intelligence Engineer

Crionet; Italia; On-site; EUR 50,000 - 75,000; Full time

Job summary

Crionet is seeking an Artificial Intelligence Engineer to design and deploy machine learning and deep learning models for sports technology. You will build object detection and tracking systems using PyTorch and TensorFlow, leveraging OpenCV for image processing.

The role suits both mid-level professionals eager to grow and seasoned engineers ready to lead complex AI projects, with opportunities to mentor and guide less experienced engineers.

Qualifications

• Proficient in Python with strong ML/DL experience.
• Hands-on experience with PyTorch and/or TensorFlow.
• Working knowledge of OpenCV for image processing.

Responsibilities

• Design, develop, and optimize ML/DL models for sports tech applications.
• Build and integrate object detection and tracking systems using PyTorch/TensorFlow and OpenCV.
• Collaborate with cross-disciplinary teams to deploy AI solutions in real-time environments.
• Ensure model scalability, performance, and robustness.
• Use Git to manage codebase iterations and collaborate on multi-project tasks.
• Lead the design and integration of AI systems for detection and tracking.

Skills

Python

Analytical thinking

Problem solving

Deep learning

Tools

PyTorch

TensorFlow

OpenCV

Job description

Since 2007, Crionet has been innovating in the world of professional tennis, delivering advanced technological solutions that enhance the live experience for players, organizers, and fans. We partner with international federations, tours, and broadcasters to bring cutting‑edge digital systems onto the court and behind the scenes of the world’s most prestigious tournaments.

What We Are Looking For:

We seek an Artificial Intelligence Engineer with proven expertise in developing machine learning and deep learning models. In this role you will deploy AI solutions with Python using frameworks such as PyTorch and/or TensorFlow, along with integrating OpenCV-based computer vision components. This role suits both mid‑level professionals eager to grow and seasoned engineers ready to lead complex AI projects.

Key Responsibilities

• Design, develop, and optimize machine learning / deep learning models for applications in sports technology.
• Build and integrate object detection and tracking systems using frameworks like PyTorch and/or TensorFlow while leveraging OpenCV for image processing.
• Collaborate with cross-disciplinary teams to deploy AI solutions in real‑time environments.
• Ensure model scalability, performance, and robustness.
• Use version control tools (e.g., Git) to manage codebase iterations and collaborate on multi-project tasks.
• Lead the design, development, and integration of sophisticated AI systems for object detection, tracking, and more.
• Provide strategic technical leadership, including mentoring and guiding less experienced engineers.

Required Skills:

• Strong proficiency in Python.
• Hands‑on experience with deep learning frameworks (PyTorch and/or TensorFlow).
• Working knowledge of OpenCV for image processing tasks.
• Excellent analytical and problem‑solving skills with the ability to manage multiple projects.

Nice-to-have:

• Proficiency with C++ (C++11/14/17) to understand integration points between AI and Computer Vision modules.
• Experience with object detection and tracking frameworks.
• Knowledge in pose estimation, action recognition, or related applications.
• An interest in or exposure to the sport of tennis/padel is a plus.