Computer Vision Team Leader

Welcome to the cutting-edge universe of Technology Data IT, the data & AI powerhouse within the Technology Reply ecosystem.

At Technology Data IT, we transform data, vision, and intelligence into real-world, mission-critical solutions. Our teams operate at the intersection of Computer Vision, Artificial Intelligence, Edge Computing, and Cloud Platforms, delivering production-grade systems that are already shaping the future of security, safety, and operational excellence.

We are now looking for a Computer Vision & AI Team Leader to guide the development of advanced, real-time AI solutions in safety-critical environments.

Computer Vision Team Leader

(Computer Vision & Edge Computing)

Role Overview

You will lead an international technical team focused on the design, development, and deployment of real-time computer vision systems for complex operational contexts such as airport security, intrusion detection, passenger flow monitoring, and multi-camera tracking.

This role combines hands-on technical excellence with technical leadership, ownership of end-to-end AI pipelines, and close collaboration with international stakeholders.

Key Responsibilities

• Lead and mentor a cross-functional team of 2–3 engineers working on advanced computer vision solutions.

• Design, train, and optimize AI models for:

  • Object detection and 2D/3D segmentation

  • Pose estimation

  • OCR and text recognition

  • Multi-object and multi-camera tracking

  • Monocular 3D scene understanding

• Own the full AI lifecycle: data collection, annotation strategies, training, validation, deployment, and monitoring.

• Deploy and maintain real-time AI systems using Dockerized architectures, Azure cloud services, and edge computing platforms.

• Ensure system robustness, reliability, and safety by defining KPIs, monitoring performance, and reducing false positives.

• Collaborate with international teams, partners, and stakeholders in complex operational environments.

Required Skills & Qualifications

• Master's degree in Computer Engineering, Computer Science, or a related field.

• Proven experience developing AI solutions for airport surveillance, security, or other safety-critical domains.

• Strong proficiency in Python, OpenCV, and PyTorch.

• Solid experience with Docker / Docker Compose, model optimization, and real-time performance tuning.

• Advanced expertise in:

  • Object detection and segmentation

  • Pose estimation

  • OCR

  • Multi-camera tracking and data fusion

  • Real-time CV pipelines

• Excellent communication skills and ability to work effectively in international teams.

• Fluent English (C1 level).

Soft Skills

• Strong technical leadership and mentoring mindset.

• High level of autonomy and ownership over solution design and delivery.

• Excellent analytical thinking and problem-solving skills.

• Focus on reliability, safety, and long-term operational sustainability.

Preferred / Nice-to-Have

• Experience with C++, TensorFlow Lite, Pub/Sub architectures, and Docker Compose frameworks.

• Hands-on experience with Kubernetes (K8s) for distributed AI services (cloud or on-prem).

• Deep knowledge of edge computing on NVIDIA Jetson Orin, including TensorRT optimization and resource-constrained real-time processing.

• Cloud certifications (e.g. Oracle OCI, Azure ML, or equivalent).

Why Technology Data IT

You will work on real-world, production-grade AI systems, where reliability and performance truly matter. You will be part of a team that combines deep technical expertise, cutting-edge research, and industrial-scale delivery, within an international and collaborative environment.

#ComputerVision #EdgeComputing #EnterpriseAI #RealTimeAI #SafetyCriticalSystems #AIEngineering

Reply is committed to embracing diversity and creating an inclusive work environment by valuing the uniqueness of people regardless of age, gender, sexual orientation, religion, nationality or disabilities as protected by Italian Law (L.68/99).​

Reply is committed to ensuring that our candidate selection methods are fair and just. To help you during the recruitment process, please let us know of any Reasonable Adjustments you may need.

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