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.