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.