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:

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Design, develop, and improve Computer Vision and image-processing pipelines.

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Build solutions for video analysis, video understanding, and real-time visual processing.

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Develop multimodal AI systems combining vision, audio, and language data.

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Work with object detection, image segmentation, classification, tracking, and related Computer Vision techniques.

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Implement and fine-tune Vision-Language Models and Transformer-based architectures.

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Integrate Large Language Models into AI products for reasoning, analysis, and automated decision-making.

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Evaluate, optimize, and deploy machine-learning models in production environments.

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Improve model inference speed, accuracy, scalability, and resource efficiency.

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Translate research papers and emerging AI techniques into practical product features.

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Build APIs and production-grade services for AI model integration.

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Collaborate with engineering and product teams to understand business requirements and deliver effective AI solutions.

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Monitor model performance and continuously improve deployed systems.

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Maintain clear, reusable, and well-documented code.