Senior Computer Vision Engineer to join our engineering team in Malta (Birkirkara) in a hybrid role. This role focuses on designing, developing, training, deploying, and maintaining production-grade computer vision and machine learning models that enhance our Live Casino platforms. Key application areas include fraud detection, real-time video analytics for operational optimization (e.g., increasing round efficiency), and related visual intelligence solutions. You will also have opportunities to contribute to multimodal models where relevant. You will work closely with backend, platform, DevOps, and product teams to deliver scalable and reliable AI-powered solutions across the business.

Key Responsibilities: - Design, develop, train, optimise, and maintain computer vision and ML models for production environments - Build scalable AI/ML pipelines covering data ingestion, processing, training, validation, deployment, monitoring, and retraining - Work with live video streams and camera feeds, including frame extraction, preprocessing, inference, post-processing, and performance optimization for real-time computer vision use cases - Develop low-latency inference services suitable for real-time systems and high-concurrency environments - Establish engineering standards, MLOps tooling, and operational best practices for AI workflows - Collaborate with backend and platform teams to define integration patterns and interfaces for AI services within the broader micro-services architecture - Work with DevOps and infrastructure teams to deploy and manage AI workloads using containeriz

Senior Computer Vision Engineer to join our engineering team in Malta (Birkirkara) in a hybrid role. This role focuses on designing, developing, training, deploying, and maintaining production-grade computer vision and machine learning models that enhance our Live Casino platforms. Key application areas include fraud detection, real-time video analytics for operational optimization (e.g., increasing round efficiency), and related visual intelligence solutions. You will also have opportunities to contribute to multimodal models where relevant. You will work closely with backend, platform, DevOps, and product teams to deliver scalable and reliable AI-powered solutions across the business.

Key Responsibilities: - Design, develop, train, optimise, and maintain computer vision and ML models for production environments - Build scalable AI/ML pipelines covering data ingestion, processing, training, validation, deployment, monitoring, and retraining - Work with live video streams and camera feeds, including frame extraction, preprocessing, inference, post-processing, and performance optimization for real-time computer vision use cases - Develop low-latency inference services suitable for real-time systems and high-concurrency environments - Establish engineering standards, MLOps tooling, and operational best practices for AI workflows - Collaborate with backend and platform teams to define integration patterns and interfaces for AI services within the broader micro-services architecture - Work with DevOps and infrastructure teams to deploy and manage AI workloads using containeriz