Hexa5 Solutions specializes in AI-Powered solutions and digital infrastructures for industries and smart cities. Our mission is to design scalable, high-performance tech layers and convert them into robust implementations for our clients and large-scale smart projects. We are looking for a structured AI and DevOps Engineer to manage the lifecycle of intelligent urban applications, bridging computer vision/ML algorithms with robust cloud and edge infrastructure.

KEY RESPONSIBILITIES & DELIVERABLES

■ Smart City Infrastructure Workflows: Build automated digital workflows for next-generation urban setups, incorporating the following real-world operational scenarios:

   ◦ Intelligent surveillance and anomaly monitoring inside public spaces and green zones.

   ◦ Real-time automated municipal violation tracking and littering detection grids.

   ◦ Autonomous logistics coordination matrices for construction site waste disposal management.

   ◦ Adaptive vehicle flow traffic management and intelligent priority lane overrides for emergency response units.

■ AI Systems & Hardware Programming: Deploy machine learning models directly onto hardware endpoints, including optimization firmware for smart IP cameras, physical IoT sensor arrays, and Intelligent Video Surveillance Servers (IVSS).

■ Command Interfacing: Architect the backend connection layers matching edge telemetry data pipelines with centralized smart city urban command rooms.

■ Infrastructure Automation (DevOps/MLOps): Build robust CI/CD automation pipelines for CV engines and manage Docker/Kubernetes container clusters to secure optimal architecture uptime.

TECHNICAL SKILLS & PROFESSIONAL REQUIREMENTS

■ AI & Computer Vision Stack: Advanced knowledge of neural networking matrices, object tracking (YOLO, OpenCV), and machine learning frameworks (PyTorch or TensorFlow).

■ DevOps & Orchestration: Hands-on experience orchestrating automated container environments (Docker, Kubernetes), automated deployment pipelines (GitLab/GitHub actions), and Infrastructure as Code.

■ Systems Integration: Familiarity coordinating with IP endpoint feeds, telemetry protocols, and live streaming analytics dashboards.

■ Experience & Profile: Engineering degree in Computer Science, Artificial Intelligence, or DevOps Engineering with 1+ year of success managing AI deployments or scalable cloud grids.

JOB LOCATION

Saudi Arabia (Riyadh City)