Applied Machine Learning / Computer Vision Engineer

We are currently seeking an Applied Machine Learning / Computer Vision Engineer to join one of our clients’ innovative AI teams. This is an exciting opportunity to work on a next-generation AI platform combining Computer Vision, Multimodal AI, Applied Machine Learning, and Large Language Models. Key Responsibilities As an Applied ML / Computer Vision Engineer, you will: - Design, develop, and improve Computer Vision and image-processing pipelines. - Build solutions for video analysis, video understanding, and real-time visual processing. - Develop multimodal AI systems combining vision, audio, and language data. - Work with object detection, image segmentation, classification, tracking, and related Computer Vision techniques. - Implement and fine-tune Vision-Language Models and Transformer-based architectures. - Integrate Large Language Models into AI products for reasoning, analysis, and automated decision-making. - Evaluate, optimize, and deploy machine-learning models in production environments. - Improve model inference speed, accuracy, scalability, and resource efficiency. - Translate research papers and emerging AI techniques into practical product features. - Build APIs and production-grade services for AI model integration. - Collaborate with engineering and product teams to understand business requirements and deliver effective AI solutions. - Monitor model performance and continuously improve deployed systems. - Maintain clear, reusable, and well-documented code.